Information about http://data.semanticuniverse.com/resource/semtech-2009

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http://data.semanticuniverse.com/resource/semtech-2009-2126 http://purl.org/dc/elements/1.1/title SearchMonkey and the Semantic Web
http://data.semanticuniverse.com/resource/semtech-2009-2126 http://www.w3.org/2000/01/rdf-schema#label SearchMonkey and the Semantic Web
http://data.semanticuniverse.com/resource/semtech-2009-2126 http://purl.org/dc/elements/1.1/abstract SearchMonkey represents initiatives to enhance Yahoo! Search results using semantic web data. Learn more about SearchMonkey, the adoption of structured data on the Web, and Yahoo's future semantic search plans.
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http://data.semanticuniverse.com/resource/semtech-2009-2126 http://purl.org/dc/elements/1.1/description SearchMonkey represents a set of initiatives within Yahoo! to provide presentation enhancements to Yahoo! Search results. SearchMonkey applications rely on structured data to understand the objects described on web pages. This deeper understanding of content enables the generation of more compelling and richer result displays, leading users to the right results in a shorter time and thereby improving the overall search experience. The input to any rich abstracts may come from a variety of sources including semantic Web data (RDF, microformats), page extraction, feeds, and web service calls. Some of these annotations are provided by site owners, some are provided by third party developers, and others are generated through internal data mining. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1663 http://purl.org/dc/elements/1.1/description One of the most effective ways to improve Fraud Risk Management is to centralize case management. The Metatomix Semantic Platform uniquely addressed this challenge with semantic data modeling, and the capability of the Metatomix semantic technology to uncover relationships and fraud patterns. The Metatomix Semantic Platform enables the integration, analysis, and visualization of this disparate data from multiple fraud detection and case management systems throughout the enterprise. The ACI Automated Case Management System offers flexible case management across the entire enterprise, utilizing ontologies to create highly flexible dynamic screens. ACM leverages semantic data modeling, which defines the relationships of the variable data across business units, allowing for connections and patterns to be recognized that previously went undetected. <P>
http://data.semanticuniverse.com/resource/semtech-2009-1663 http://swrc.ontoware.org/ontology#keywords semantic-middleware
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http://data.semanticuniverse.com/resource/semtech-2009-1663 http://swrc.ontoware.org/ontology#keywords fraud-risk-strategies
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http://data.semanticuniverse.com/resource/semtech-2009-1663 http://www.w3.org/2000/01/rdf-schema#label Leveraging Semantics for Improved Fraud Risk Management: Automated Case Management (ACM) Case Study
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http://data.semanticuniverse.com/resource/semtech-2009-1663 http://purl.org/dc/elements/1.1/abstract To address the need for improved fraud risk management strategies, ACI Worldwide and Metatomix partnered to build the first semantically-enabled enterprise case management system for financial services risk management.
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http://data.semanticuniverse.com/resource/semtech-2009-1663 http://purl.org/dc/elements/1.1/title Leveraging Semantics for Improved Fraud Risk Management: Automated Case Management (ACM) Case Study
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http://data.semanticuniverse.com/resource/semtech-2009-1884 http://purl.org/dc/elements/1.1/abstract This session will introduce attendees to issues related to planning and implementing applications that address knowledge provenance issues. It provides examples of deployed eScience applications including knowledge provenance components.
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http://data.semanticuniverse.com/resource/semtech-2009-1884 http://purl.org/dc/elements/1.1/title Moving Up the Layers, Knowledge Provenance Applications: Explanation, Proof and Trust
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http://data.semanticuniverse.com/resource/semtech-2009-1884 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/deborah-l-mcguinness
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http://data.semanticuniverse.com/resource/semtech-2009-1884 http://purl.org/dc/elements/1.1/description Semantic web languages, tools and architectures are now maturing to a point where we are able to apply the explanation, proof and trust layers of the semantic web stack to real application problems; from law, to geographic maps, to image data pipelines. In this session, we cover the evolution of languages such as PML (proof markup language; PML-2 and PML-Lite), IW (Inference Web) tools, and visual provenance tools such as Probe-It! for the exploitation of diverse provenance applications. We ground the presentation in several mature projects, with evaluations and present immediate directions for adoption by business and commercial applications. Examples will be given from some at least one deployed eScience application. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1806 http://www.w3.org/2000/01/rdf-schema#label BKN: Building Communities through Knowledge, and Knowledge Through Communities
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http://data.semanticuniverse.com/resource/semtech-2009-1806 http://purl.org/dc/elements/1.1/description This talk will demo for the first time the Bibliographic Knowledge Network (BKN) for use within any knowledge domain. BKN is intended to become the largest professional knowledge network available, and a general framework of open-source tools that may be extended and deployed by any knowledge community. BKN is a major, NSF-funded project jointly sponsored by the University of California, Berkeley, Harvard University, Stanford University, and the American Institute of Mathematics, with broad private sector and community support. Though initially nucleating around mathematics and statistics, each node in the BKN is a Web site dedicated to a specific topic or field of knowledge. The project itself is developing a suite of tools and infrastructure based on semantic technologies for professionals, students or researchers to easily form new communities to share and leverage expertise. The BKN framework includes: <ul><li>Set-up of each knowledge community portal</li> <li>Shared vocabularies and ontologies</li> <li>Mechanisms for knowledge sharing and access</li> <li>Information extraction and annotation support, and</li> <li>Interoperability with other nodes in the BKN network and the general semantic Web.</li></ul> <P>
http://data.semanticuniverse.com/resource/semtech-2009-1806 http://swrc.ontoware.org/ontology#keywords knowledge-environment
http://data.semanticuniverse.com/resource/semtech-2009-1806 http://swrc.ontoware.org/ontology#keywords social-networks
http://data.semanticuniverse.com/resource/semtech-2009-1806 http://swrc.ontoware.org/ontology#keywords bkn
http://data.semanticuniverse.com/resource/semtech-2009-1806 http://swrc.ontoware.org/ontology#keywords semantic-web
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http://data.semanticuniverse.com/resource/semtech-2009-1806 http://purl.org/dc/elements/1.1/audience Non-Technical
http://data.semanticuniverse.com/resource/semtech-2009-1806 http://purl.org/dc/elements/1.1/abstract The Bibliographic Knowledge Network is an innovative and ambitious collaboration framework based on semantic technologies for professionals in any knowledge domain to easily form communities and to share and leverage expertise.
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http://data.semanticuniverse.com/resource/semtech-2009-1806 http://purl.org/dc/elements/1.1/title BKN: Building Communities through Knowledge, and Knowledge Through Communities
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http://data.semanticuniverse.com/resource/semtech-2009-2052 http://purl.org/dc/elements/1.1/description <h4>PART I | Thought Networking: Imagining New Mass Market Applications for Semantic Technologies</h4> <p>Semantic representations offer a conceptual and technical foundation as a "language of thought". A new class of semantic applications called thought networking builds upon this foundation to help people digitize their thoughts and organize them online. With our thoughts expressed in digital networks, they may interact with the world even without our effort or our attention - just as social networks allow people to socialize unconstrained by time and place. Thought networks become both a massively augmented embodiment of our thinking as well as a powerful knowledge asset for individuals and organizations. Further, as machine-readable data structures, thought networks can enhance our online experience through software agents and automation.</p> <P> <hr width="10%" /> <P> <h4>PART II | Have Your Agent Message My Agent and We'll Do Lunch</h4> <p>Back in the halcyon days of AI, we envisioned a time in the not-too-distant future when intelligent agents representing our needs and interests would shop for us, book trips and appointments, do research, manage our finances and generally help us run that complex, dynamic enterprise known as our lives. Now, with the growing pervasiveness of small, personal computing devices like smart-phones, coupled with the rapid rise of social networks, the explosion of metadata (both public and personal), and semantic search and rules processing, many of the fundamental pre-requisites exist to enable the sorts of things we envisioned being performed by intelligent agents, plus a number of other more socially-centered things most of us never considered at the time. But major challenges remain, both technological and social. This talk will cover both aspects, although the primary emphasis will be on the social implications of the technology, including downside risks and upside opportunities for improving our lives. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1796 http://purl.org/dc/elements/1.1/abstract This session will compare a hand full of existing RDF stores and demonstrate how they can be used interchangeably or as a unified federation.
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http://data.semanticuniverse.com/resource/semtech-2009-1796 http://purl.org/dc/elements/1.1/title Unifying RDF Stores
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http://data.semanticuniverse.com/resource/semtech-2009-1796 http://purl.org/dc/elements/1.1/description The RDF storage market has become much more divers recently, with many providers tailoring to specific environments and data patterns. This talk will cover some considerations to help you identify what RDF store implementation is best for your data and environment. We will discuss common features found with many providers, unique features found in only a few, and demonstrate some of the new features in Mulgara. We will also be demonstrating a unified RDF API to allow RDF stores to be swapped into applications post-development and how using a provider independent API enables divers RDF storage nodes to be federated together, allowing each node to be tailored to the unique shape of the data being stored within. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1718 http://purl.org/dc/elements/1.1/title A Semantic Approach to Health Care Quality Reporting
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http://data.semanticuniverse.com/resource/semtech-2009-1718 http://purl.org/dc/elements/1.1/abstract A semantic approach to the production of medical outcomes and process quality reports reduces costs, improves report accuracy, and enables the collection of clinical data useful for other purposes.
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http://data.semanticuniverse.com/resource/semtech-2009-1718 http://purl.org/dc/elements/1.1/description Hospitals have come under increasing pressure to report a wide variety of health care process and outcomes measures to various governmental and non-governmental agencies. Typically, the data needed for these reports are captured in separate, unconnected databases designed to fulfill the specific requirements of individual agencies. Although initially expedient, this approach to quality reporting has several drawbacks. <P> To overcome these problems, Cleveland Clinic's Heart and Vascular Institute has adopted a semantic approach to quality reporting, which uses ontology and rule-based inference to derive specific reported values from core clinical facts collected in a common RDF data repository. With this approach, core clinical data can be collected in a highly reusable form with little or no redundancy. In addition, differences or changes in reporting requirements can often be handled by modifications of the ontologies and rules guiding the inferential expansion of patient graphs and SPARQL queries rather than the actual data collected. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1953 http://purl.org/dc/elements/1.1/description After a period of caution about the viability of semantic technologies, investors seem more willing to fund semantic start-ups. Semantic search has been hot for a couple of years - the possibility of finding the next Google being just too enticing - but the focus seems now to be shifting to enterprise and consumer apps. So what do the VCs want to see in the business plans for semantic start-ups now? Are there still plenty of good opportunities out there for entrepreneurs or have the best ideas already claimed their share of available capital? <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1953 http://purl.org/dc/elements/1.1/abstract What is the investment environment for semantic technologies currently, and looking ahead?
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http://data.semanticuniverse.com/resource/semtech-2009-2139 http://purl.org/dc/elements/1.1/abstract What responsibilities are found in typical semantic web projects, and what skills do people need to do the job?
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http://data.semanticuniverse.com/resource/semtech-2009-2139 http://purl.org/dc/elements/1.1/title Bringing Semantics to the Enterprise: Roles and Capabilities
http://data.semanticuniverse.com/resource/semtech-2009-2139 http://purl.org/dc/elements/1.1/description What responsibilities are found in typical semantic web projects? Which capabilities should project managers look to have on their teams? To look at it from another angle, what skills do you have that can be an asset to a semantic web project team? Info pros, UX designers and business analysts need apply! <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1690 http://swrc.ontoware.org/ontology#keywords sparql
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http://data.semanticuniverse.com/resource/semtech-2009-1690 http://purl.org/dc/elements/1.1/abstract Introductory tutorial to the Semantic Web technologies
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http://data.semanticuniverse.com/resource/semtech-2009-1690 http://purl.org/dc/elements/1.1/description The goal of this tutorial is to give an overview of the main technical building blocks of the Semantic Web. After a general introduction the basic model of RDF is presented, including examples for its serialization in XML and in Turtle. This is followed by an overview of the classification possibilities offered by RDF Schemas, and the query facilities of SPARQL. Then a brief overview is given on the main goals of OWL, its structure, and how it can be used with RDF. The tutorial also touches upon newer developments in the field and ends with a set of examples on products and applications of Semantic Web as used by companies. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1690 http://purl.org/dc/elements/1.1/title T1: Introduction to the Semantic Web
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http://data.semanticuniverse.com/resource/semtech-2009-2121 http://purl.org/dc/elements/1.1/abstract GetGlue.com - is a web-wide network connecting people around books, music, movies and other everyday things. The talk will be an in-depth technical discussion of semantic technologies and algorithms used to power this network.
http://data.semanticuniverse.com/resource/semtech-2009-2121 http://www.w3.org/2000/01/rdf-schema#label Glue: Leveraging Semantics To Connect People Around Things They Visit
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http://data.semanticuniverse.com/resource/semtech-2009-2121 http://purl.org/dc/elements/1.1/description GetGlue.com is a contextual browsing technology developed by New York-based startup, AdaptiveBlue, automatically connects users around books, music, movies across different sites. The agenda for this presentation: <P> <ul><li>Brief demo of Glue</li> <li>Outline of AdaptiveBlue's semantic technologies stack</li> <li>in depth discussion of semantic algorithms used to build Glue</li> <li>Whats next: From Web of Pages to Web of Things</li> </ul> <P>
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http://data.semanticuniverse.com/resource/semtech-2009-2121 http://purl.org/dc/elements/1.1/title Glue: Leveraging Semantics To Connect People Around Things They Visit
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http://data.semanticuniverse.com/resource/semtech-2009-1865 http://www.w3.org/2000/01/rdf-schema#label Model Driven Ontology: Bridging the Gap Between Semantic Technology and Model Driven Architecture
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http://data.semanticuniverse.com/resource/semtech-2009-1865 http://purl.org/dc/elements/1.1/title Model Driven Ontology: Bridging the Gap Between Semantic Technology and Model Driven Architecture
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http://data.semanticuniverse.com/resource/semtech-2009-1865 http://purl.org/dc/elements/1.1/abstract Model Driven Ontology (MDO) is a new methodology for ontology development in large-scale semantic based applications. The result of MDO is a patented product can be used by semantic technology and MDA communities.
http://data.semanticuniverse.com/resource/semtech-2009-1865 http://swrc.ontoware.org/ontology#keywords model
http://data.semanticuniverse.com/resource/semtech-2009-1865 http://swrc.ontoware.org/ontology#keywords modeling
http://data.semanticuniverse.com/resource/semtech-2009-1865 http://swrc.ontoware.org/ontology#keywords ontology-development
http://data.semanticuniverse.com/resource/semtech-2009-1865 http://swrc.ontoware.org/ontology#keywords enterprise
http://data.semanticuniverse.com/resource/semtech-2009-1865 http://data.semanticweb.org/ns/swc/ontology#hasLocation http://data.semanticuniverse.com/resource/club-regent
http://data.semanticuniverse.com/resource/semtech-2009-1865 http://purl.org/dc/elements/1.1/description This presentation explains the benefits and values that modeling practice can offer for ontology-based applications, by treating modeling as a first class artifact, rather than documentation. In addition to presenting a single common data model that all team members can share, a mechanism is presented to generate the ontology code directly from the UML model once it is validated and proofed. In this case, the model is used not only as a diagram or a blueprint but also as a primary artifact from which efficient code is generated by applying transformation rules. <P> Based on a patented and well tested product against many complex systems, we argue that the use of Model Driven Ontology in semantic-based applications would increasingly boost productivity, eliminate mistakes due to human misunderstanding, break the monopoly of ontologists over ontology development, and save a significant amount of development effort. <P>
http://data.semanticuniverse.com/resource/semtech-2009-1865 http://swrc.ontoware.org/ontology#keywords semantic
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http://data.semanticuniverse.com/resource/semtech-2009-1865 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/mohamed-keshk
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http://data.semanticuniverse.com/resource/semtech-2009-1865 http://swrc.ontoware.org/ontology#keywords automation
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http://data.semanticuniverse.com/resource/nigel-shadbolt http://xmlns.com/foaf/0.1/depiction http://wmb.skyworld.com/uploads/images/bios/1953.jpg^^http://www.w3.org/2001/XMLSchema#anyURI
http://data.semanticuniverse.com/resource/nigel-shadbolt http://www.w3.org/2001/vcard-rdf/3.0#title Professor of Artifical Intelligence
http://data.semanticuniverse.com/resource/nigel-shadbolt http://www.w3.org/2001/vcard-rdf/3.0#org University of Southampton
http://data.semanticuniverse.com/resource/semtech-2009-1833 http://swrc.ontoware.org/ontology#keywords content-management
http://data.semanticuniverse.com/resource/semtech-2009-1833 http://swrc.ontoware.org/ontology#keywords information-management
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http://data.semanticuniverse.com/resource/semtech-2009-1833 http://purl.org/dc/elements/1.1/audience Technology - Intermediate
http://data.semanticuniverse.com/resource/semtech-2009-1833 http://www.w3.org/2000/01/rdf-schema#label Information Models for Digital Asset Management
http://data.semanticuniverse.com/resource/semtech-2009-1833 http://www.w3.org/2002/12/cal/icaltzd/dtEnd 2009-06-15T18:00:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
http://data.semanticuniverse.com/resource/semtech-2009-1833 http://swrc.ontoware.org/ontology#keywords domain-modeling
http://data.semanticuniverse.com/resource/semtech-2009-1833 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/beth-huffer
http://data.semanticuniverse.com/resource/semtech-2009-1833 http://purl.org/dc/elements/1.1/title Information Models for Digital Asset Management
http://data.semanticuniverse.com/resource/semtech-2009-1833 http://purl.org/dc/elements/1.1/description In industry after industry, people are looking to ontology-supported systems to organize, label, store, and retrieve documents and other digital assets. But like any software component, the right design makes all the difference. Ontologies for information management systems are models, expressed in a formal language, of models, expressed in one or more natural languages, of a domain of interest. As such, these ontologies are far more complex than might be thought at first blush. Ontologies for information management systems must represent a very broad domain that includes propositional content, the information bearing objects that convey that content, and the world of states of affairs that the propositional content describes. This session explores the ontology of information and information bearing objects and provides guidance for creating robust, high-fidelity ontologies to support information handling software applications. <P>
http://data.semanticuniverse.com/resource/semtech-2009-1833 http://swrc.ontoware.org/ontology#keywords propositions
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http://data.semanticuniverse.com/resource/semtech-2009-1833 http://swrc.ontoware.org/ontology#keywords digital-asset-management
http://data.semanticuniverse.com/resource/semtech-2009-1833 http://data.semanticweb.org/ns/swc/ontology#isPartOf http://data.semanticuniverse.com/resource/semtech-2009-ontology-concepts
http://data.semanticuniverse.com/resource/semtech-2009-1833 http://www.w3.org/2002/12/cal/icaltzd/dtStart 2009-06-15T17:00:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
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http://data.semanticuniverse.com/resource/semtech-2009-1833 http://purl.org/dc/elements/1.1/abstract To provide guidance for ontology models to support information management systems.
http://data.semanticuniverse.com/resource/semtech-2009-1833 http://swrc.ontoware.org/ontology#keywords media
http://data.semanticuniverse.com/resource/semtech-2009-1833 http://swrc.ontoware.org/ontology#keywords ontology
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http://data.semanticuniverse.com/resource/adaptiveblue-inc http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/net/biblio#Organization
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http://data.semanticuniverse.com/resource/semtech-2009-1556 http://purl.org/dc/elements/1.1/abstract Key architectural strategies in the use of RDF for information integration and exchange.
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http://data.semanticuniverse.com/resource/semtech-2009-1556 http://purl.org/dc/elements/1.1/description Organizations often face an intimidating diversity of data models as they attempt to interconnect applications and services that were developed independently. Service Oriented Architecture (SOA) helps address the process design challenge, but it does not address the data challenge. This presentation explains how RDF is being used to address the data challenge. It describes four key architectural strategies based on RDF, REST and SPARQL that help to achieve looser coupling, easier information integration and more flexible information reuse. <P>
http://data.semanticuniverse.com/resource/semtech-2009-1556 http://www.w3.org/2000/01/rdf-schema#label RDF as a Lingua Franca: Key Architectural Strategies
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http://data.semanticuniverse.com/resource/semtech-2009-1777 http://purl.org/dc/elements/1.1/abstract This presentation will focus on the development of software for the automatic recognition, labeling, and extraction of product information from on-line catalogs.
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http://data.semanticuniverse.com/resource/semtech-2009-1777 http://purl.org/dc/elements/1.1/description Online catalogs, for both business-to-consumer and business-to-business sales, contain large amounts of up-to-date and often quite detailed information about individual products. However, the automatic discovery and extraction of this information difficult, because there is no standard for dissemination of product attributes in online catalogs. At XSB we are developing software that will crawl catalog sites and automatically recognize and harvest detailed product information. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1791 http://purl.org/dc/elements/1.1/audience Technology - Intermediate
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http://data.semanticuniverse.com/resource/semtech-2009-1791 http://purl.org/dc/elements/1.1/abstract A case study of the evolution of Creative Commons' web sites into Semantic Web properties which provide a loosely coupled, manageable, extensible API as part of their core functionality.
http://data.semanticuniverse.com/resource/semtech-2009-1791 http://purl.org/dc/elements/1.1/title The Site Is the API: Developing Web Sites for the Semantic Web
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http://data.semanticuniverse.com/resource/semtech-2009-1791 http://www.w3.org/2000/01/rdf-schema#label The Site Is the API: Developing Web Sites for the Semantic Web
http://data.semanticuniverse.com/resource/semtech-2009-1791 http://purl.org/dc/elements/1.1/description Creative Commons has developed sites which turn the Web 2.0 API-oriented approach on its ear. Instead of providing an API for users to access their data, the sites have evolved using semantic web technologies such as RDFa, POWDER and SIOC to provide a single interface with rich semantics for both people and software -- the Web 3.0 / Semantic Web interface. In addition to providing users access to their data, this single interface is used to integrate properties at Creative Commons together. <P> This session will present a case study of the development of the CC Network and evolution of creativecommons.org to integrate with the network. Topics covered will include: <ul><li>Designing the interface for a dual audience of people and software</li> <li>Challenges of a decoupled architecture</li> <li>General principles for developing and evolving sites to fully participate in the semantic web</li> <li>Testing in isolation</li></ul> <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1689 http://purl.org/dc/elements/1.1/abstract Update on the Semantic Web related standardization results at W3C
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http://data.semanticuniverse.com/resource/semtech-2009-1689 http://purl.org/dc/elements/1.1/title What is New in W3C Land?
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http://data.semanticuniverse.com/resource/semtech-2009-1689 http://purl.org/dc/elements/1.1/description The year 2009 will be a major year for new SemWeb standards being published by W3C. POWDER should be published at the beginning of the year and, after many years of discussions, SKOS will be finalized. These are completed by the the new version of OWL (OWL 2) as well as by the Rule Interchange Format (RIF). Finally, new work on SPARQL, as well as other database related work, might also start in 2009. All in all, 2009 may end up as being one of the 'big bang' years for the Semantic Web just as 2004 was with the publication of OWL and the renewed RDF standards. <P> This presentation will give a last minute update of what these new standards are, what their functionalities are, and how they fit the overall picture of Semantic Web based application development. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-2134 http://purl.org/dc/elements/1.1/description Peter Mika (Yahoo!) is organizing a VoCamp following SemTech 2009 at Yahoo! campus in Sunnyvale. Details on this entirely free technical event are available at the following Wiki: <a href="http://vocamp.org/wiki/VoCampSunnyvale2009" target="_blank">http://vocamp.org/wiki/VoCampSunnyvale2009</a> <P> <strong>NOTE: This VoCamp continues through Friday, June 19th.</strong> <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1625 http://data.semanticweb.org/ns/swc/ontology#hasLocation http://data.semanticuniverse.com/resource/gold
http://data.semanticuniverse.com/resource/semtech-2009-1625 http://purl.org/dc/elements/1.1/description Personal Media means that we need to understand that human beings are not just social - they are also private. Personal Personal Media includes your friend's shared items. It includes the comments you leave on blogs. It includes Social Media. But it also includes private updates. Updates from your Intranet. Updates from your family. Updates from broadcast media. Updates that matter to you - no one else. <P>
http://data.semanticuniverse.com/resource/semtech-2009-1625 http://swrc.ontoware.org/ontology#keywords discovery
http://data.semanticuniverse.com/resource/semtech-2009-1625 http://swrc.ontoware.org/ontology#keywords filtering
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http://data.semanticuniverse.com/resource/semtech-2009-1625 http://purl.org/dc/elements/1.1/abstract To explain the value of personal attention profiles and their application to content filtering, recommendation and discovery. Specifically using APML as a way of moving semantic concepts between various applications.
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http://data.semanticuniverse.com/resource/semtech-2009-1625 http://purl.org/dc/elements/1.1/title It's Time for Social Media to Become Personal Media
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http://data.semanticuniverse.com/resource/thomas-tague http://www.w3.org/2001/vcard-rdf/3.0#org Thomson Reuters OpenCalais Initiative
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http://data.semanticuniverse.com/resource/semtech-2009-2046 http://www.w3.org/2000/01/rdf-schema#label Panel: Business Models and Market Opportunities for Semantic Start-Ups
http://data.semanticuniverse.com/resource/semtech-2009-2046 http://purl.org/dc/elements/1.1/abstract How can Semantic Web ventures best close the gap between technology and market needs? A Discussion of applications, business models, marketing trends and future directions
http://data.semanticuniverse.com/resource/semtech-2009-2046 http://swrc.ontoware.org/ontology#keywords knowledge-synthesis
http://data.semanticuniverse.com/resource/semtech-2009-2046 http://www.w3.org/2002/12/cal/icaltzd/dtStart 2009-06-17T14:30:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
http://data.semanticuniverse.com/resource/semtech-2009-2046 http://purl.org/dc/elements/1.1/description We will review the state of semantic technologies as a business, discuss the near future, and exchange suggestions with entrepreneurs in the space. Key questions we'll tackle: <P> <ul><li>What semantic technologies are market-ready?</li> <li>What problems do these solutions solve?</li> <li>What other problems can they be expected to tackle soon?</li> <li>What business models already work? What others do we see emerging?</li> <li>How to improve the overlap between semantic technologies and real needs?</li> <li>How to bring new semantic apps to market successfully</li></ul> <P>
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http://data.semanticuniverse.com/resource/semtech-2009-2046 http://swrc.ontoware.org/ontology#keywords semantic-marketing
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http://data.semanticuniverse.com/resource/semtech-2009-2046 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/greg-boutin
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http://data.semanticuniverse.com/resource/semtech-2009-2046 http://purl.org/dc/elements/1.1/title Panel: Business Models and Market Opportunities for Semantic Start-Ups
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http://data.semanticuniverse.com/resource/semtech-2009-2060 http://purl.org/dc/elements/1.1/description Freemix is a powerful web-based application that allows you to easily mix and merge private and public information, style it with templates and share it with other people. This talk will demonstrate a powerful application of semantic technologies viewed through an interface accessible to users of all skill levels. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-2060 http://www.w3.org/2000/01/rdf-schema#label Freemix - Social networking for data. Wouldn't it be nice if your data had friends, too?
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http://data.semanticuniverse.com/resource/semtech-2009-2060 http://purl.org/dc/elements/1.1/abstract Freemix is a powerful web-based application that allows you to easily mix and merge private and public information, style it with templates and share it with other people. This talk will demonstrate a powerful application of semantic technologies viewed through an interface accessible to users of all skill levels.
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http://data.semanticuniverse.com/resource/semtech-2009-2060 http://purl.org/dc/elements/1.1/title Freemix - Social networking for data. Wouldn't it be nice if your data had friends, too?
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http://data.semanticuniverse.com/resource/semtech-2009-1772 http://www.w3.org/2000/01/rdf-schema#label Applying Semantic Technologies to Asset and Configuration Management in the Enterprise
http://data.semanticuniverse.com/resource/semtech-2009-1772 http://purl.org/dc/elements/1.1/title Applying Semantic Technologies to Asset and Configuration Management in the Enterprise
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http://data.semanticuniverse.com/resource/semtech-2009-1772 http://purl.org/dc/elements/1.1/description Small to medium organizations encounter never ending changes within machine farms, service tiers, and software releases. Although there is a plethora of enterprise solutions, this is a problem ripe for open source semantic technologies. We will discuss how <ul><li>RDF/OWL is ideal for implementing automated network discovery via REST</li> <li>RDF lends itself more towards managing software and asset meta data than relation databases</li> <li>RDF is more flexible in mapping service to service and service to systems dependency mapping.</li></ul> <P> We will share our ontology, as well as practical advice and experience in using open source tools, specifically the Jena triple store. Finally, we'll demonstrate query capabilities which empower systems engineering professionals to track and manage greater complexity. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1772 http://purl.org/dc/elements/1.1/abstract Our talk focuses on solving the challenge of managing change in large enterprise deployments. We will show how Travelocity tracks software and machine farms via a Jena knowledge base, including a discussion of our ontology and it's application to our domain.
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http://data.semanticuniverse.com/resource/semtech-2009-1993 http://purl.org/dc/elements/1.1/description <h4>PART I | Harnessing Semantic Knowledge from Unstructured Internet Sources to help Businesses Predict the Future</h4> <p>A postmortem study of more than a dozen recent corporate disasters revealed similar patterns with evidence of potential problems showing up on the Internet well before news spread to the mainstream. "The data was out there on the web," said one Fortune 100 executive. "But we had no method of harnessing those 'mounds of data' to detect the problem before it was too late."</p> <P> <p>One of the promises of the Semantic Web is turning the World Wide Web as we know it today &#150; data &#150; into "information." With this information, companies can predict both problematic and opportunistic trends earlier than ever before, and improve the odds to make the optimal business decisions in an increasingly competitive and globalized world. To achieve this, two new technologies are necessary; first to harvest noise-free semantic information out of social networks on the internet, and secondly to apply text analysis to extract predictions for future events and trends.</p> <P> <hr width="10%" /> <P> <h4>PART II | Freemix: Your Data, Your Way</h4> <p>The advent of wikis and blogs gave the average individual the capability and freedom to publish their own text-based content to the Web. But what about the vast amounts of valuable data people store on their desktops? Enter Freemix. . .</p> <P> <p>Freemix allows users to combine personal collections of information with web-based content through a simple point and click interface. It is a powerful web-based application that allows you to easily mix and merge private and public information, style it with templates and share it with other people. Building off each others knowledge, Freemix revolutionizes how people share information across teams, departments and communities.</p> <P> This talk will provide an overview of the features of Freemix and demonstrations of how data can be easily integrated using the tool. There will be a brief overview of the technical underpinnings of the application.</p> <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1993 http://purl.org/dc/elements/1.1/abstract <h4>PART I | Harnessing Semantic Knowledge from Unstructured Internet Sources to help Businesses Predict the Future</h4> <h4>PART II | Freemix: Your Data, Your Way</h4>
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http://data.semanticuniverse.com/resource/amanda-reed http://www.w3.org/2001/vcard-rdf/3.0#org Palomar Ventures
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http://data.semanticuniverse.com/resource/semtech-2009-1740 http://purl.org/dc/elements/1.1/title Semantic Process Overlays: Delivering Business Processes through Overlay Networks
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http://data.semanticuniverse.com/resource/semtech-2009-1740 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/armin-haller
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http://data.semanticuniverse.com/resource/semtech-2009-1740 http://swrc.ontoware.org/ontology#keywords value-driven-content-provision
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http://data.semanticuniverse.com/resource/semtech-2009-1740 http://www.w3.org/2000/01/rdf-schema#label Semantic Process Overlays: Delivering Business Processes through Overlay Networks
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http://data.semanticuniverse.com/resource/semtech-2009-1740 http://purl.org/dc/elements/1.1/audience Technology - Advanced
http://data.semanticuniverse.com/resource/semtech-2009-1740 http://swrc.ontoware.org/ontology#keywords business-process-management
http://data.semanticuniverse.com/resource/semtech-2009-1740 http://swrc.ontoware.org/ontology#keywords virtual-organisation
http://data.semanticuniverse.com/resource/semtech-2009-1740 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/brahmananda-sapkota
http://data.semanticuniverse.com/resource/semtech-2009-1740 http://purl.org/dc/elements/1.1/abstract This talk introduces PeerProcess, an emerging type of overlay networks, semantic overlay networks. This new infrastructure manages complex processes in virtual enterprises where service functionalities are distributed across enterprise boundaries.
http://data.semanticuniverse.com/resource/semtech-2009-1740 http://purl.org/dc/elements/1.1/description We will introduce semantic overlay networks to manage complex processes in virtual enterprises where service functionalities are distributed across enterprise boundaries. We will describe how this technology influences the design of information systems and how it potentially supplements recent research in the area of Semantic Process Management. We describe current practices in semantic overlay networks, introduce the new concepts, its modeling notation and tools. <P>
http://data.semanticuniverse.com/resource/semtech-2009-1740 http://swrc.ontoware.org/ontology#keywords ontology-federation
http://data.semanticuniverse.com/resource/semtech-2009-1740 http://swrc.ontoware.org/ontology#keywords information-systems
http://data.semanticuniverse.com/resource/semtech-2009-1915 http://purl.org/dc/elements/1.1/description Successful research and knowledge transfer is often harshly measured in terms of industrial results. The purpose of this panel is to take a retrospective look at the considerable European investment in semantic technology R&amp;D and determine if the benefits are worthwhile. Following the multibillion Euro (&#0128;) venture of the past decade, start-ups are now blossoming and semantic software solutions are proving to be profitable, though skepticism of course remains. The invited panelists will analyze the pros and cons of such a model, primarily focusing on completing the bridge from academia to industry: From European Research to Marketable Products. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1915 http://purl.org/dc/elements/1.1/title From European Research to Marketable Products
http://data.semanticuniverse.com/resource/semtech-2009-1915 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/atanas-kostadinov-kiryakov
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http://data.semanticuniverse.com/resource/semtech-2009-1961 http://www.w3.org/2000/01/rdf-schema#label Semantics at The New York Times
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http://data.semanticuniverse.com/resource/semtech-2009-1961 http://purl.org/dc/elements/1.1/title Semantics at The New York Times
http://data.semanticuniverse.com/resource/semtech-2009-1961 http://purl.org/dc/elements/1.1/description The first semantic search system for The New Times was released in 1913 and was available bound in either paper ($6) or cloth ($8). In the 96 years since the advent of The Historical Index to The New York Times, semantic technology has become central to The New York Times' daily operations and the focus of much internal research and development. In our keynote, Rob Larson, VP of Digital Production, and Evan Sandhaus, Semantic Technologist, will review the long history of semantic technology at The New York Times; discuss the application of this technology in our operations; and review an innovative initiative to enlist the global community in solving some of our toughest challenges. <P>
http://data.semanticuniverse.com/resource/semtech-2009-1961 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/evan-sandhaus
http://data.semanticuniverse.com/resource/semtech-2009-1961 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/robert-larson
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http://data.semanticuniverse.com/resource/semtech-2009-2147 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.w3.org/2002/12/cal/icaltzd/Vevent
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http://data.semanticuniverse.com/resource/semtech-2009-2147 http://www.w3.org/2000/01/rdf-schema#label Predictive Toxicology: Applied Semantics with major implications towards safer drugs
http://data.semanticuniverse.com/resource/semtech-2009-2147 http://purl.org/dc/elements/1.1/title Predictive Toxicology: Applied Semantics with major implications towards safer drugs
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http://data.semanticuniverse.com/resource/semtech-2009-2147 http://swrc.ontoware.org/ontology#keywords combinatorial-biomarker
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http://data.semanticuniverse.com/resource/semtech-2009-2147 http://purl.org/dc/elements/1.1/description While predictive toxicology has been a major goal in the development of safer drugs for quite a while, its promises have - despite major advances in analytics - been challenged by the complexity to better understand the biological functions involved. Specifically, while many of the observed changes in metabolites, gene expression and tissue analytics can result from the same treatment, most likely they represent very different biological processes. In the liver, for example, metabolites might reflect changes in the urea cycle and intermediary metabolism, while gene expression may quantify alterations in the immune response and signaling pathways. As such, despite being pharmacodynamically correlated, the effects may not be directly functionally linked within the biological system. Thus, for biomarker discovery in predictive toxicology to be successful, it is mandatory to move from the bare collection of observed statistical correlations towards an integrated relationship network which helps differentiating the effects and by doing so understanding the biological functions involved. This report describes a semantic systems biology approach to predictive toxicology which fulfills this requirement. On examples of toxicity-induced perturbations in metabolites and genes in studies with different experimental models, the effectiveness of integrating data and their relationships in a common ontological framework is demonstrated. Being able to merge such observations with public resources across taxonomies and semantic standards, an integrated network visualization and analysis can reveal the simultaneous impact on several pathways independent of the experimental layout and qualify common biomarker panels which otherwise would go undetected. <P> The insights gained from semantically joining coherent findings despite their different methodologies allow researchers to better understand how the organism responds to experiment-induced system changes and to recognize mechanistic aspects of toxicity biomarkers at a functional level. The resulting combinatorial marker profiles can then be refined, validated and applied to predictive screening of new drugs for toxicity. <P>
http://data.semanticuniverse.com/resource/semtech-2009-2147 http://swrc.ontoware.org/ontology#keywords semantic-data-integration
http://data.semanticuniverse.com/resource/semtech-2009-2147 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/erich-a-gombocz
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http://data.semanticuniverse.com/resource/semtech-2009-2147 http://purl.org/dc/elements/1.1/abstract The presented study represents a major step towards combinatorial marker-based prediction of drug safety at a very early stage in the drug discovery and development process and will facilitate informed risk assessment for go/no-go decisions based on biologically relevant response profiles.
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http://data.semanticuniverse.com/resource/ian-horrocks http://www.w3.org/2001/vcard-rdf/3.0#org Oxford University
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http://data.semanticuniverse.com/resource/semtech-2009-1638 http://purl.org/dc/elements/1.1/abstract Explain and demonstrate how OWL-DL, SPARQL, and XSLT can be used together for automated text generation - such as software configuration file generation - from an OWL knowledge base.
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http://data.semanticuniverse.com/resource/semtech-2009-1638 http://www.w3.org/2000/01/rdf-schema#label OWL-DL, SPARQL, and XSLT to Automate Software Configuration
http://data.semanticuniverse.com/resource/semtech-2009-1638 http://purl.org/dc/elements/1.1/description We describe and demonstrate an approach to automating payload configuration for USAF Cybercraft which leverages the Web Ontology Language (OWL), the SPARQL query language, and Extensible Stylesheet Language Transformations (XSLT). <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1638 http://purl.org/dc/elements/1.1/title OWL-DL, SPARQL, and XSLT to Automate Software Configuration
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http://data.semanticuniverse.com/resource/semtech-2009-1859 http://purl.org/dc/elements/1.1/audience Technology - Introductory
http://data.semanticuniverse.com/resource/semtech-2009-1859 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.w3.org/2002/12/cal/icaltzd/Vevent
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http://data.semanticuniverse.com/resource/semtech-2009-1859 http://purl.org/dc/elements/1.1/description The primary goal of the KMI is to provide stakeholders (and applications) with a semantically unified, web-based view of distributed Eastern Range information &#173; a Single Integrated Range Picture &#173; through a virtual, federated, ontology-based enterprise model we call the Knowledge Management Framework, which constitutes a &#34;Semantic Service-Oriented Architecture&#34;. <P> The last three years, at SemTech 06-08, we have presented an overview of the KMI and the KMF architecture. This year, we provide an overview of progress in: <P> <ul><li>The evolving semantic SOA and &#34;semantic enrichment&#34; of legacy data;</li> <li>Integrating real-time events and legacy information using ontologies;</li> <li>Unifying structured and unstructured information;</li> <li>Agent-based planning and scheduling;</li> <li>Fun with funding and the &#34;grass roots&#34; business model;</li> <li>Training the community of interest and extending our reach;</li> <li>The way ahead.</li></ul> <P>
http://data.semanticuniverse.com/resource/semtech-2009-1859 http://swrc.ontoware.org/ontology#keywords semantic-integration
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http://data.semanticuniverse.com/resource/semtech-2009-1859 http://purl.org/dc/elements/1.1/title Case Study Year 4: USAF 45th Space Wing Knowledge Management Initiative
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http://data.semanticuniverse.com/resource/semtech-2009-1859 http://www.w3.org/2000/01/rdf-schema#label Case Study Year 4: USAF 45th Space Wing Knowledge Management Initiative
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http://data.semanticuniverse.com/resource/semtech-2009-1859 http://purl.org/dc/elements/1.1/abstract Year four update on the USAF 45th Space Wing&#39;s Knowledge Management Initiative, focused on deploying an ontology-based semantic SOA to unify legacy structured, unstructured, and real-time information for net-centric operations.
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http://data.semanticuniverse.com/resource/kurt-alan-cagle http://www.w3.org/2001/vcard-rdf/3.0#org O'Reilly Media
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http://data.semanticuniverse.com/resource/semtech-2009-1652 http://swrc.ontoware.org/ontology#keywords thesauri
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http://data.semanticuniverse.com/resource/semtech-2009-1652 http://purl.org/dc/elements/1.1/audience Technology - Introductory
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http://data.semanticuniverse.com/resource/semtech-2009-1652 http://swrc.ontoware.org/ontology#keywords taxonomy
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http://data.semanticuniverse.com/resource/semtech-2009-1652 http://purl.org/dc/elements/1.1/description This session introduces the basic concepts of controlled vocabularies from simple folksonomies through advanced ontologies. The design, development, application and management of taxonomies, thesauri and ontologies is presented as a manageable progression. Term selection and refinement principles and techniques are presented along with strategies on how to structure the final vocabularies so they are immediately applicable while remaining open and extensible for future semantic application. The applicability of XML-based technologies to taxonomy management is presented with examples from multiple fields. Relevant established standards such as ANSI Z39.19 and ISO 2788 are introduced along with the emerging standards of zThes and SKOS. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1652 http://www.w3.org/2000/01/rdf-schema#label T6: Taxonomies 101: Designing and Managing Taxonomies as Stepping Stones to Semantics
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http://data.semanticuniverse.com/resource/semtech-2009-1652 http://purl.org/dc/elements/1.1/abstract This session introduces the basic concepts of taxonomies, their development, management and application as an entry into semantic technologies and solutions.
http://data.semanticuniverse.com/resource/semtech-2009-1652 http://purl.org/dc/elements/1.1/title T6: Taxonomies 101: Designing and Managing Taxonomies as Stepping Stones to Semantics
http://data.semanticuniverse.com/resource/semtech-2009-1652 http://swrc.ontoware.org/ontology#keywords zthes
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http://data.semanticuniverse.com/resource/semtech-2009-1827 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/deborah-l-mcguinness
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http://data.semanticuniverse.com/resource/semtech-2009-1827 http://purl.org/dc/elements/1.1/description Effective communication requires a common vocabulary. An ontology may be viewed as a declarative encoding of the meaning of the domain vocabulary terms, thus making it a key to enabling communication. <P> This tutorial provides an overview of the knowledge representation landscape and attempts to de-mystify some of the 'black art' of ontology development. We will outline basic methodology steps. <P> Examples from several business domains will be provided, with a focus on the Web Ontology Language (OWL). We will also demonstrate appropriate use of OWL DL, other OWL 2 profiles, and more expressive languages such as Common Logic, to help potential users understand both the power and limitations they impose on applications in making such choices. <P> Feedback from prior years is that this tutorial provides a great introduction for those who are just beginning to "get their feet wet" in the field, and can be helpful in setting the stage for the rest of the conference. <P>
http://data.semanticuniverse.com/resource/semtech-2009-1827 http://swrc.ontoware.org/ontology#keywords cl
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http://data.semanticuniverse.com/resource/semtech-2009-1827 http://purl.org/dc/elements/1.1/title T4: Ontology 101: An Introduction to Knowledge Representation, the Web Ontology Language, and Ontology Development
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http://data.semanticuniverse.com/resource/semtech-2009-1827 http://purl.org/dc/elements/1.1/abstract This tutorial provides an overview of the knowledge representation landscape, an introduction to the OWL and Common Logic languages, and attempts to de-mystify some of the &#39;black art&#39; of ontology development. New examples and applications from e-science projects will be highlighted.
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http://data.semanticuniverse.com/resource/semtech-2009-1827 http://www.w3.org/2000/01/rdf-schema#label T4: Ontology 101: An Introduction to Knowledge Representation, the Web Ontology Language, and Ontology Development
http://data.semanticuniverse.com/resource/semtech-2009-1827 http://swrc.ontoware.org/ontology#keywords ontology
http://data.semanticuniverse.com/resource/semtech-2009-1827 http://swrc.ontoware.org/ontology#keywords knowledge-representation
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http://data.semanticuniverse.com/resource/semtech-2009-1841 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/henry-neils
http://data.semanticuniverse.com/resource/semtech-2009-1841 http://purl.org/dc/elements/1.1/abstract Entity Extraction is becoming one of the key tools for transforming plain text into useful information for the semantic web. This presentation is a broad overview of Entity Extraction technology.
http://data.semanticuniverse.com/resource/semtech-2009-1841 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/dan-g-mccreary
http://data.semanticuniverse.com/resource/semtech-2009-1841 http://www.w3.org/2000/01/rdf-schema#label T7: Overview of Entity Extraction
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http://data.semanticuniverse.com/resource/semtech-2009-1841 http://purl.org/dc/elements/1.1/description Entity Extraction is a process of identifying key entities such as people, organizations, products, places and events in unstructured text documents and annotating these entities with precise semantic markup for future use. This presentation will review the entity extraction process, compare architectures and patterns and compare how various commercial and open source tools have recently evolved to meet the needs of the semantic web. We will also include demonstrations of entity extraction. <P> This presentation will include the following topics: <P> <ul><li>What is entity extraction, and why is it so challenging?</li> <li>What are the benefits of using annotated documents?</li> <li>Architecture and patterns: linguistic pipelines, annotations, enrichment, POS tagging/RDF encoding</li> <li>Standards: XML, RDFa, Microformats, TEI, DITA etc</li> <li>Are entity extraction web services right for you?</li> <li>Linking to domain specific controlled vocabularies</li> <li?Case studies</li></ul> <P>
http://data.semanticuniverse.com/resource/semtech-2009-1841 http://swrc.ontoware.org/ontology#keywords entity-extraction
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http://data.semanticuniverse.com/resource/semtech-2009-1841 http://swrc.ontoware.org/ontology#keywords semantic-web
http://data.semanticuniverse.com/resource/semtech-2009-1841 http://purl.org/dc/elements/1.1/title T7: Overview of Entity Extraction
http://data.semanticuniverse.com/resource/semtech-2009-1841 http://swrc.ontoware.org/ontology#keywords text-mining
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http://data.semanticuniverse.com/resource/semtech-2009-1596 http://swrc.ontoware.org/ontology#keywords natural-language-processing
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http://data.semanticuniverse.com/resource/semtech-2009-1596 http://purl.org/dc/elements/1.1/audience Business
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http://data.semanticuniverse.com/resource/semtech-2009-1596 http://purl.org/dc/elements/1.1/title Ontology Based Text Mining in Temporally Structured Digital Texts
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http://data.semanticuniverse.com/resource/semtech-2009-1596 http://purl.org/dc/elements/1.1/abstract Demonstrating ontology based text mining in the area of quality control, investor relations and insurance market. Further we highlight the need of Europe and the portability of languages.
http://data.semanticuniverse.com/resource/semtech-2009-1596 http://purl.org/dc/elements/1.1/description Current Enterprise Information Management systems do not provide a full view on available information. Semantics is the key to bridge the gap between the classical information sources and the temporally structured digital texts. Information can be extracted from the Internet assuming we understand the content. Suggested areas where semantic technology can be used within the enterprise information management are: <ul><li>Quality control and assurance in the manufacturing industry taking as text input repair reports</li> <li>News monitoring in the insurance industry taking as text input Internet publications, blogs, and in-house text streams (emails, in-house reports, claim and insurance documents, etc.)</li> <li>News and trend monitoring for customer relationship management (CRM) taking as text input Internet sites, news, and blogs</li> <li>Internet monitoring for investor relations taking into account the press activity text and the measurement of the tonality on the market by analyzing news and Internet sites</li></ul> <P>
http://data.semanticuniverse.com/resource/semtech-2009-1596 http://www.w3.org/2000/01/rdf-schema#label Ontology Based Text Mining in Temporally Structured Digital Texts
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http://data.semanticuniverse.com/resource/semtech-2009-1753 http://purl.org/dc/elements/1.1/audience Technology - Intermediate
http://data.semanticuniverse.com/resource/semtech-2009-1753 http://www.w3.org/2000/01/rdf-schema#label Generating Linked Open Data for Chemistry
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http://data.semanticuniverse.com/resource/semtech-2009-1753 http://swrc.ontoware.org/ontology#keywords rdf
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http://data.semanticuniverse.com/resource/semtech-2009-1753 http://purl.org/dc/elements/1.1/title Generating Linked Open Data for Chemistry
http://data.semanticuniverse.com/resource/semtech-2009-1753 http://purl.org/dc/elements/1.1/abstract The talk will discuss the extraction, semantification and visualisation of chemical data and information from unstructured heterogeneous sources.
http://data.semanticuniverse.com/resource/semtech-2009-1753 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.w3.org/2002/12/cal/icaltzd/Vevent
http://data.semanticuniverse.com/resource/semtech-2009-1753 http://purl.org/dc/elements/1.1/description The domain of chemistry is central to a large number of significant industries such as the pharmaceuticals and life sciences industry, the home and personal care industry as well as the "classical" chemical industry. All of these are research-intensive and any innovation is crucially dependent on the ability to connect data from heterogeneous sources: in the pharmaceutical industry, for example, the ability to link data about chemical compounds, with toxicology data, genomic and proteomic data, pathway data etc. is crucial. The availability of a semantic infrastructure for chemistry will be a significant factor for the future success of this industry. Unfortunately, virtually all current chemical knowledge and data is generated in non-semantic form and in many silos, which makes such data integration immensely difficult. <P> In order to address these issues, the talk will discuss several distinct, but related areas, namely chemical information extraction, information/data integration, ontology-aided information retrieval and information visualization. In particular, we demonstrate how chemical data can be retrieved from a range of unstructured sources such as reports, scientific theses and papers or patents. We will discuss how these sources can be processed using ontologies, natural language processing techniques and named-entity recognisers to produce chemical data and knowledge expressed in RDF. We will furthermore show, how this information can be searched and indexed. Particular attention will also be paid to data representation and visualisation using topic/topology maps and information lenses. At the end of the talk, attendees should have a detailed awareness of how chemical entities and data can be extracted from unstructured sources and visualised for rapid information discovery and knowledge generation. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1721 http://purl.org/dc/elements/1.1/description For attendees who want to learn about semantic applications and how they deliver value, this tutorial surveys the top 10 categories of business, consumer, and infrastructure applications of semantic technologies using case examples. For each case, we outline the problem or opportunity being addressed, describe key features of the approach, and discuss the impact of the semantic solution from four value perspectives: capabilities, user experience, performance, and life cycle economics. Handouts include a guide for planning and assessing the business value of semantic technology based solutions. <P>
http://data.semanticuniverse.com/resource/semtech-2009-1721 http://swrc.ontoware.org/ontology#keywords semantic-technology
http://data.semanticuniverse.com/resource/semtech-2009-1721 http://purl.org/dc/elements/1.1/title T10: How Semantic Technologies Drive Business Value
http://data.semanticuniverse.com/resource/semtech-2009-1721 http://purl.org/dc/elements/1.1/abstract 1/2 day Tutorial surveys the top 10 categories of business, consumer, and infrastructure applications of semantic technologies using case examples, and explains how semantic solutions deliver value.
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http://data.semanticuniverse.com/resource/semtech-2009-2128 http://purl.org/dc/elements/1.1/description In this presentation we demonstrate an object database built using a RDF store. Our challenge was to track these objects both in real time, perform analysis on past movements and even offer some predictive analysis. Traditional relational databases were too slow for real time handling of moving objects so we used in-memory techniques and algorithms used by large multi-player games. Some of the real time data will go in the persistent database and for that we developed a new 3D indexing technique to efficiently deal with lat/long-time queries. This allowed us to do data-analysis about typical movement patterns over time dependent on the properties of objects. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-2128 http://purl.org/dc/elements/1.1/title GeoTemporal Reasoning and Moving Objects in RDF
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http://data.semanticuniverse.com/resource/semtech-2009-2128 http://purl.org/dc/elements/1.1/abstract We describe projects from industry and defense integrators in tracking hundreds of thousands to millions of objects in real time. Consider fleets of trucks, swarms of airplanes, track data for soldiers on the (urban) battle field, or location based services like Loopt.
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http://data.semanticuniverse.com/resource/semtech-2009-1633 http://purl.org/dc/elements/1.1/abstract This presentation will show how semantic technologies can be combined with business rules and analytics to bring intelligence to service-oriented architectures.
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http://data.semanticuniverse.com/resource/semtech-2009-1633 http://www.w3.org/2000/01/rdf-schema#label Decision Services: A Pattern for Putting Semantics to Work in SOA
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http://data.semanticuniverse.com/resource/semtech-2009-1633 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/james-taylor
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http://data.semanticuniverse.com/resource/semtech-2009-1633 http://purl.org/dc/elements/1.1/title Decision Services: A Pattern for Putting Semantics to Work in SOA
http://data.semanticuniverse.com/resource/semtech-2009-1633 http://purl.org/dc/elements/1.1/description The modern business climate requires smarter systems than most organizations have. Businesses need to make existing systems smarter now. While SOA provides an architectural framework for building these smarter systems, a new class of service must be used to fully realize this goal. Decision Services that manage and improve the high-volume operational decisions that underpin core processes are the best way to make your systems smart enough to run your operations. Decision Services automate these critical operational decisions by providing centralized access to business rules, allowing for the enhancement of those rules with data-driven analytics and support for the ongoing improvement of those decisions over time. The session will: <ul><li>Recap the business challenges that create a need for smarter systems.</li> <li>Show how a focus on decision automation can deliver these smarter systems.</li> <li>Describe the core Decision Service pattern in relation to SOA and the characteristics of decision services.</li> <li>Outline the pattern's relationship to semantic technologies and discuss their role in decision services.</li> <li>Introduce the concept of adaptive control for continuous improvement of Decision Services.</li></ul> <P>
http://data.semanticuniverse.com/resource/semtech-2009-1633 http://swrc.ontoware.org/ontology#keywords predictive-analytics
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http://data.semanticuniverse.com/resource/semtech-2009-1808 http://www.w3.org/2002/12/cal/icaltzd/dtEnd 2009-06-17T17:00:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
http://data.semanticuniverse.com/resource/semtech-2009-1808 http://purl.org/dc/elements/1.1/description One can say: we have all these online bookmarks sharing systems, like del.icio.us, digg, ... name it. So why do we need one more? There are couple of reasons: most of the online bookmarking solutions are simple pools of links where everyone can bag and tag their favorite sites. searching and browsing is usually limited to simple filtering by tags the "social" aspect is mostly limited to the notion of having many people contributing to the same pool; if not by technical constraints than surely by the way people use it except maybe for Twine, there is no real use of semantic information emerging online digi.me is the system that binds explicit social network connections (created and maintained by the users) with reasoning techniques acting behind the scene on the semantic information gathered about and around bookmarked resources. Social bookmarking has never been easier and more beneficial: users bag, tag and classify information - the system recommends in return related topics related to their interests maintained by other users. digi.me allows to stay up to date with interesting information by observing specified communication and notification channels (RSS/Atom, IM, email). Gradually the system also attempts to automatically sort incoming information to categories, previously defined by the users. During our presentation we will show: why digi.me is the ultimate social bookmarking solution how digi.me can be used to improve everyday search and browsing tasks how digi.me can extend current knowledge management solutions to provide mash-up formal and informal sources of knowledge, improve knowledge flow and identifying experts within organizations. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1808 http://purl.org/dc/elements/1.1/title digi.me - Semantic Information Discovery, Browsing and Sharing within Communities of Users
http://data.semanticuniverse.com/resource/semtech-2009-1808 http://www.w3.org/2000/01/rdf-schema#label digi.me - Semantic Information Discovery, Browsing and Sharing within Communities of Users
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http://data.semanticuniverse.com/resource/semtech-2009-1808 http://purl.org/dc/elements/1.1/abstract digi.me is a novel semantic social bookmarking solution that makes the most out of semantic web and social networking technologies. We will show how it can be used to improved knowledge discovery and sharing.
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http://data.semanticuniverse.com/resource/semtech-2009-1808 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/mariusz-cygan
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http://data.semanticuniverse.com/resource/semtech-2009-2110 http://swrc.ontoware.org/ontology#keywords semantic-web
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http://data.semanticuniverse.com/resource/semtech-2009-2110 http://swrc.ontoware.org/ontology#keywords automation
http://data.semanticuniverse.com/resource/semtech-2009-2110 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/aaron-barnett
http://data.semanticuniverse.com/resource/semtech-2009-2110 http://purl.org/dc/elements/1.1/abstract Concept-aware information tools can bridge the gap between the promise and the realization of the Semantic Web.
http://data.semanticuniverse.com/resource/semtech-2009-2110 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://data.semanticweb.org/ns/swc/ontology#ConferenceEvent
http://data.semanticuniverse.com/resource/semtech-2009-2110 http://purl.org/dc/elements/1.1/description As the Semantic Web starts to be realized, there is still a significant gap between ideals (markup, categorization) and implementation. Assumed taxonomies and ontologies can inhibit true information discovery and navigation. Concept-aware information tools can bridge the gap between the promise and the realization of the Semantic Web. <P> - Problems with the Semantic Web - Solutions: Information Tools - Examples <P>
http://data.semanticuniverse.com/resource/semtech-2009-2110 http://purl.org/dc/elements/1.1/title Finding Meaning: Concept-Aware Information Tools
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http://data.semanticuniverse.com/resource/semtech-2009-1854 http://purl.org/dc/elements/1.1/audience Technology - Introductory
http://data.semanticuniverse.com/resource/semtech-2009-1854 http://swrc.ontoware.org/ontology#keywords audio
http://data.semanticuniverse.com/resource/semtech-2009-1854 http://swrc.ontoware.org/ontology#keywords ontologies
http://data.semanticuniverse.com/resource/semtech-2009-1854 http://purl.org/dc/elements/1.1/abstract This presentation will describe how ontologies are built by a combination of NLP and statistical methods and then used within a multimedia content analysis system for semantic indexing, query, and reasoning applications.
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http://data.semanticuniverse.com/resource/semtech-2009-1854 http://data.semanticweb.org/ns/swc/ontology#isPartOf http://data.semanticuniverse.com/resource/semtech-2009-semantic-applications
http://data.semanticuniverse.com/resource/semtech-2009-1854 http://purl.org/dc/elements/1.1/description This presentation describes how XMP metadata is created and employed within multifaceted ontologies for the semantic analysis of multimedia content. The talk will cover: <ol><li>Techniques to capture and represent the semantics and interrelationships between multimedia content elements.</li> <li>Optimizing identification schemes used for semantic metadata.</li> <li>Application of symbolic, linguistic, and statistical techniques for ontology creation.</li> <li>An entity-relationship/triple-store model for all semantic metadata.</li> <li>Time synchronization of semantic metadata to audio and video data.</li> <li>Using metadata for multimodal semantic search, similarity matching, enabling communities of multimedia users, and contextualized advertising applications.</li></ul> <P>
http://data.semanticuniverse.com/resource/semtech-2009-1854 http://www.w3.org/2002/12/cal/icaltzd/dtEnd 2009-06-17T15:30:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
http://data.semanticuniverse.com/resource/semtech-2009-1854 http://swrc.ontoware.org/ontology#keywords indexing
http://data.semanticuniverse.com/resource/semtech-2009-1854 http://swrc.ontoware.org/ontology#keywords multimedia-metadata
http://data.semanticuniverse.com/resource/semtech-2009-1854 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/walter-w-chang
http://data.semanticuniverse.com/resource/semtech-2009-1854 http://swrc.ontoware.org/ontology#keywords video
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http://data.semanticuniverse.com/resource/semtech-2009-1854 http://purl.org/net/biblio#presentedAt http://data.semanticuniverse.com/resource/semtech-2009
http://data.semanticuniverse.com/resource/semtech-2009-1854 http://www.w3.org/2000/01/rdf-schema#label An Ontology-Driven System for the Semantic Analysis of Multimedia Content
http://data.semanticuniverse.com/resource/semtech-2009-1854 http://swrc.ontoware.org/ontology#keywords nlp
http://data.semanticuniverse.com/resource/semtech-2009-1854 http://purl.org/dc/elements/1.1/title An Ontology-Driven System for the Semantic Analysis of Multimedia Content
http://data.semanticuniverse.com/resource/semtech-2009-1854 http://swrc.ontoware.org/ontology#keywords semantic-analysis
http://data.semanticuniverse.com/resource/semtech-2009-1854 http://swrc.ontoware.org/ontology#keywords xmp
http://data.semanticuniverse.com/resource/semtech-2009-1854 http://swrc.ontoware.org/ontology#keywords multimodal-search
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http://data.semanticuniverse.com/resource/rachel-lovinger http://www.w3.org/2000/01/rdf-schema#label Rachel Lovinger
http://data.semanticuniverse.com/resource/rachel-lovinger http://xmlns.com/foaf/0.1/name Rachel Lovinger
http://data.semanticuniverse.com/resource/rachel-lovinger http://xmlns.com/foaf/0.1/depiction http://wmb.skyworld.com/uploads/images/bios/1928.jpg^^http://www.w3.org/2001/XMLSchema#anyURI
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http://data.semanticuniverse.com/resource/rachel-lovinger http://www.w3.org/2001/vcard-rdf/3.0#title Associate Experience Director
http://data.semanticuniverse.com/resource/rachel-lovinger http://www.w3.org/2001/vcard-rdf/3.0#org Razorfish
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http://data.semanticuniverse.com/resource/tod-hagan http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://xmlns.com/foaf/0.1/Person
http://data.semanticuniverse.com/resource/tod-hagan http://www.w3.org/2000/01/rdf-schema#label Tod Hagan
http://data.semanticuniverse.com/resource/tod-hagan http://xmlns.com/foaf/0.1/name Tod Hagan
http://data.semanticuniverse.com/resource/tod-hagan http://xmlns.com/foaf/0.1/depiction http://wmb.skyworld.com/uploads/images/bios/2086.jpg^^http://www.w3.org/2001/XMLSchema#anyURI
http://data.semanticuniverse.com/resource/tod-hagan http://www.w3.org/2001/vcard-rdf/3.0#title Director, Advanced Technologies
http://data.semanticuniverse.com/resource/tod-hagan http://www.w3.org/2001/vcard-rdf/3.0#org Modus Operandi, Inc
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http://data.semanticuniverse.com/resource/semtech-2009-1822 http://purl.org/dc/elements/1.1/title FRM: Fair Rights Management
http://data.semanticuniverse.com/resource/semtech-2009-1822 http://purl.org/dc/elements/1.1/description Fair Rights Management (FRM) is our work towards fair use in the digital world. We propose taking advantage of social networks and terms negotiations. FRM is also a semantic fair content distribution platform. The platform provides a reliable identity management system using FOAF, machine-readable digital licenses using Creative Commons RDF Vocabulary, and protection means for the content that is distributed. <P> It supports the fully automated extension of diverse license offers to customers. The social method of sharing content is sophisticated but legal as well as the propagation and revocation of user rights across networks of providers, distributors, and consumers. Security and privacy are maintained by our architecture while maximizing the flexibility needed by the next generation of content consumers. <P> We will present FRM &#45; a Semantic Platform for Fair Rights Management How FRM can be used to enforce Fair Use How FRM uses social networks to make DRM less restrictive but still very secure <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1822 http://swrc.ontoware.org/ontology#keywords semantic-drm
http://data.semanticuniverse.com/resource/semtech-2009-1822 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/slawomir-grzonkowski
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http://data.semanticuniverse.com/resource/semtech-2009-1822 http://swrc.ontoware.org/ontology#keywords semantic-content-distribution
http://data.semanticuniverse.com/resource/semtech-2009-1822 http://swrc.ontoware.org/ontology#keywords fair-rights-management
http://data.semanticuniverse.com/resource/semtech-2009-1822 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://data.semanticweb.org/ns/swc/ontology#ConferenceEvent
http://data.semanticuniverse.com/resource/semtech-2009-1822 http://purl.org/dc/elements/1.1/audience Technology - Introductory
http://data.semanticuniverse.com/resource/semtech-2009-1822 http://data.semanticweb.org/ns/swc/ontology#isPartOf http://data.semanticuniverse.com/resource/semtech-2009-new-products-and-companies
http://data.semanticuniverse.com/resource/semtech-2009-1822 http://www.w3.org/2000/01/rdf-schema#label FRM: Fair Rights Management
http://data.semanticuniverse.com/resource/semtech-2009-1822 http://purl.org/dc/elements/1.1/abstract FRM is a semantic platform towards fair use in the digital world. We propose taking advantage of social networks and terms negotiations. It uses semantic technologies and standards such as FOAF or Creative Commons RDF vocabulary.
http://data.semanticuniverse.com/resource/semtech-2009-1822 http://purl.org/net/biblio#presentedAt http://data.semanticuniverse.com/resource/semtech-2009
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http://data.semanticuniverse.com/resource/semtech-2009-2054 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.w3.org/2002/12/cal/icaltzd/Vevent
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http://data.semanticuniverse.com/resource/semtech-2009-2054 http://purl.org/dc/elements/1.1/description gist is an OWL 2 upper ontology with fewer than 200 concepts. It is freely available to use or modify. We have used it on several client engagements and have found that it covers most of the concepts needed for a large enterprise. . <P> In this session we will briefly survey the world of upper ontologies. We will describe the structure and organization of gist. We will then show several design patterns contained in gist, including those that make use of OWL 2 features. <P> At the conclusion of this talk participants should be able to: <ul> <li>Access gist and use it as a learning aid</li> <li>Understand how to specialize gist for an enterprise</li> <li>Appreciate the need for some of the new OWL 2 features</li> <li>Understand why committing to a minimalist upper ontology will reduce integration effort internally and externally</li> </ul> This talk assumes some previous knowledge of OWL. <P>
http://data.semanticuniverse.com/resource/semtech-2009-2054 http://data.semanticweb.org/ns/swc/ontology#isPartOf http://data.semanticuniverse.com/resource/semtech-2009-specific-ontologies
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http://data.semanticuniverse.com/resource/semtech-2009-2054 http://purl.org/net/biblio#presentedAt http://data.semanticuniverse.com/resource/semtech-2009
http://data.semanticuniverse.com/resource/semtech-2009-2054 http://purl.org/dc/elements/1.1/audience Technology - Intermediate
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http://data.semanticuniverse.com/resource/semtech-2009-2054 http://www.w3.org/2000/01/rdf-schema#label gist: a minimalist upper ontology
http://data.semanticuniverse.com/resource/semtech-2009-2054 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/dave-mccomb
http://data.semanticuniverse.com/resource/semtech-2009-2054 http://purl.org/dc/elements/1.1/title gist: a minimalist upper ontology
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http://data.semanticuniverse.com/resource/reza-bfar http://www.w3.org/2000/01/rdf-schema#label Reza BFar
http://data.semanticuniverse.com/resource/reza-bfar http://xmlns.com/foaf/0.1/name Reza BFar
http://data.semanticuniverse.com/resource/reza-bfar http://xmlns.com/foaf/0.1/depiction http://wmb.skyworld.com/uploads/images/bios/1923.jpg^^http://www.w3.org/2001/XMLSchema#anyURI
http://data.semanticuniverse.com/resource/reza-bfar http://www.w3.org/2001/vcard-rdf/3.0#title Senior Software Development Director
http://data.semanticuniverse.com/resource/reza-bfar http://www.w3.org/2001/vcard-rdf/3.0#org Oracle USA
http://data.semanticuniverse.com/resource/tran-and-associates http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/net/biblio#Organization
http://data.semanticuniverse.com/resource/tran-and-associates http://xmlns.com/foaf/0.1/name Tran and Associates
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http://data.semanticuniverse.com/resource/aj-chen http://www.w3.org/2000/01/rdf-schema#label AJ Chen
http://data.semanticuniverse.com/resource/aj-chen http://xmlns.com/foaf/0.1/name AJ Chen
http://data.semanticuniverse.com/resource/aj-chen http://xmlns.com/foaf/0.1/depiction http://wmb.skyworld.com/uploads/images/bios/1434.jpg^^http://www.w3.org/2001/XMLSchema#anyURI
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http://data.semanticuniverse.com/resource/zhe-wu http://xmlns.com/foaf/0.1/name Zhe Wu
http://data.semanticuniverse.com/resource/zhe-wu http://xmlns.com/foaf/0.1/depiction http://wmb.skyworld.com/uploads/images/bios/344.jpg^^http://www.w3.org/2001/XMLSchema#anyURI
http://data.semanticuniverse.com/resource/zhe-wu http://www.w3.org/2001/vcard-rdf/3.0#title Consultant Member of Technical Staff
http://data.semanticuniverse.com/resource/zhe-wu http://www.w3.org/2001/vcard-rdf/3.0#org Oracle Corp.
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http://data.semanticuniverse.com/resource/semtech-2009-1987 http://swrc.ontoware.org/ontology#keywords nlp
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http://data.semanticuniverse.com/resource/semtech-2009-1987 http://purl.org/dc/elements/1.1/description <h4>PART I | Utilizing the Many Aspects of Semantics for Search </h4> Reasoning with text requires unraveling the complexity of language. Some approaches focus on only one aspect of meaning, such as taxonomy. But semantics has many aspects. Many word stems are ambiguous, and disambiguation depends upon the meanings of surrounding words and their relationships to each other within structural context. <P> Temporal and causal progression are inferred from verbal implications. Similarity in meaning between sentences (query/text) involves paraphrase and ontological relations. This semantic NLP approach utilizes a comprehensive array of algorithms to interpret the complexity of meaning in language. These algorithms are described (from tokenization through discourse semantics) to illustrate how they can be applied to significantly improve information retrieval and language reasoning in present-day applications. <P> <hr width="10%" /> <h4>PART II | A Conversational Interface for Personal Information Management</h4> This session presents JotChat, a personal information manager which uses natural language as the vehicle for both entering and querying information. The goal is to accept any reasonable English construction within the areas it covers. Results will be presented of a usability study where untrained users are given scenarios requiring them to ask or give information to JotChat in whatever language seems natural to them. <P> An overview of the unconventional natural language technology, called Tridbit, that drives this application will be given. Tridbit technology processes natural language directly into tridbits, which are the underlying knowledge structure for retrieving, storing and reasoning with information. Unique aspects of the system include: <P> <ul><li>Automates encoding of meaning from natural language</li> <li>Recognizes and exploits inherent structure of information</li> <li>Dynamically learns words, grammar and knowledge</li></ul> <P>
http://data.semanticuniverse.com/resource/semtech-2009-1987 http://swrc.ontoware.org/ontology#keywords naive-semantics
http://data.semanticuniverse.com/resource/semtech-2009-1987 http://purl.org/dc/elements/1.1/title New Approaches to Natural Language Search
http://data.semanticuniverse.com/resource/semtech-2009-1987 http://swrc.ontoware.org/ontology#keywords linguistics
http://data.semanticuniverse.com/resource/semtech-2009-1987 http://www.w3.org/2000/01/rdf-schema#label New Approaches to Natural Language Search
http://data.semanticuniverse.com/resource/semtech-2009-1987 http://www.w3.org/2002/12/cal/icaltzd/dtStart 2009-06-16T10:30:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
http://data.semanticuniverse.com/resource/semtech-2009-1987 http://swrc.ontoware.org/ontology#keywords aspect
http://data.semanticuniverse.com/resource/semtech-2009-1987 http://swrc.ontoware.org/ontology#keywords discourse
http://data.semanticuniverse.com/resource/semtech-2009-1987 http://data.semanticweb.org/ns/swc/ontology#isPartOf http://data.semanticuniverse.com/resource/semtech-2009-unstructured-information
http://data.semanticuniverse.com/resource/semtech-2009-1987 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/karen-blaedow
http://data.semanticuniverse.com/resource/semtech-2009-1987 http://swrc.ontoware.org/ontology#keywords anaphora-resolution
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http://data.semanticuniverse.com/resource/semtech-2009-1987 http://purl.org/dc/elements/1.1/audience Technology - Intermediate
http://data.semanticuniverse.com/resource/semtech-2009-1987 http://swrc.ontoware.org/ontology#keywords tense
http://data.semanticuniverse.com/resource/semtech-2009-1987 http://swrc.ontoware.org/ontology#keywords selectional-restrictions
http://data.semanticuniverse.com/resource/semtech-2009-1987 http://swrc.ontoware.org/ontology#keywords formal-semantics
http://data.semanticuniverse.com/resource/semtech-2009-1987 http://swrc.ontoware.org/ontology#keywords natural-language
http://data.semanticuniverse.com/resource/semtech-2009-1987 http://data.semanticweb.org/ns/swc/ontology#isPartOf http://data.semanticuniverse.com/resource/semtech-2009-semantic-search
http://data.semanticuniverse.com/resource/semtech-2009-1987 http://www.w3.org/2002/12/cal/icaltzd/dtEnd 2009-06-16T11:30:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
http://data.semanticuniverse.com/resource/semtech-2009-1987 http://swrc.ontoware.org/ontology#keywords disambiguation
http://data.semanticuniverse.com/resource/semtech-2009-1987 http://purl.org/dc/elements/1.1/abstract This session demonstrates new approaches and technologies for natural language understanding and search.
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http://data.semanticuniverse.com/resource/semtech-2009-1909 http://purl.org/dc/elements/1.1/title The Game Changer: Siri, a Virtual Personal Assistant
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http://data.semanticuniverse.com/resource/semtech-2009-1909 http://purl.org/dc/elements/1.1/description We are beginning to see a new interaction paradigm for the web: the Virtual Personal Assistant (VPA). A VPA is task focused: it helps you get things done. You interact with it in natural language, in a conversation. It gets to know you, acts on your behalf, and gets better with time. The VPA paradigm builds on the information and services of the web, with new technical challenges of semantic intent understanding, context awareness, service delegation, and mass personalization. <P> Siri is a virtual personal assistant for the mobile Internet. Although just in its infancy, Siri can help with some common tasks that human assistants do, such as booking a restaurant, getting tickets to a show, and inviting a friend. We will describe the technology underlying Siri and how it fits in the larger ecosystem of services and data providers. And we will offer a vision of where assistants like Siri are going. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1780 http://swrc.ontoware.org/ontology#keywords sna
http://data.semanticuniverse.com/resource/semtech-2009-1780 http://www.w3.org/2000/01/rdf-schema#label RDF + Social Networking Analysis = The Next Step for Networking Sites
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http://data.semanticuniverse.com/resource/semtech-2009-1780 http://purl.org/dc/elements/1.1/audience Technology - Intermediate
http://data.semanticuniverse.com/resource/semtech-2009-1780 http://purl.org/dc/elements/1.1/description By viewing interactions as connections in a graph, we can treat a multitude of different situations using the tools of Social Network Analysis (SNA). Existing SNA tool kits rely on custom data-structures that scale poorly. We show how efficient indexing and caching strategies backed by a persistent RDF triple-store supports better scaling and algorithm flexibility. <P>
http://data.semanticuniverse.com/resource/semtech-2009-1780 http://swrc.ontoware.org/ontology#keywords indexing-algorithms
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http://data.semanticuniverse.com/resource/semtech-2009-1780 http://purl.org/dc/elements/1.1/title RDF + Social Networking Analysis = The Next Step for Networking Sites
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http://data.semanticuniverse.com/resource/semtech-2009-1780 http://purl.org/dc/elements/1.1/abstract Demonstrate how RDF stores enable Social Networking Analytics at internet scale.
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http://data.semanticuniverse.com/resource/semtech-2009-1692 http://purl.org/dc/elements/1.1/title Integrating Country-Based Heterogenous Data at the United Nations: FAO's Geopolitical Ontology and Services
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http://data.semanticuniverse.com/resource/semtech-2009-1692 http://purl.org/dc/elements/1.1/abstract to share results and experiences integrating heterogeneous data sources in a large organization using semantic technologies.
http://data.semanticuniverse.com/resource/semtech-2009-1692 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/marta-iglesias-sucasas
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http://data.semanticuniverse.com/resource/semtech-2009-1692 http://purl.org/dc/elements/1.1/description The Food and Agriculture Organization of the United Nations (FAO) launched an ontology and associated services to manage, exchange and integrate geopolitical information at corporate level and with international partners. The geopolitical ontology is showcased in the FAO Country Profiles and Mapping Information System (FCPMIS) www.fao.org/countryprofiles, where is used to enhance the system functionality and to integrate geopolitical information, such as, statistics, maps, feeds or documents. The benefits of this project include: 1) enhanced content aggregation and synchronization from multiple source repositories within the organization; 2) improved users&#39; information access through aggregation and comparison of data in neighbor countries or regions 3) a geopolitical standard to exchange agricultural information with partner organizations. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1692 http://swrc.ontoware.org/ontology#keywords information-exchange;-data-integration;-corporate-initiatives
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http://data.semanticuniverse.com/resource/semtech-2009-1660 http://www.w3.org/2000/01/rdf-schema#label A Programmer's Introduction to Pellet: How to Build Ontology-based Semantic Applications
http://data.semanticuniverse.com/resource/semtech-2009-1660 http://purl.org/dc/elements/1.1/description Pellet is the leading OWL reasoner for Java-based applications, commercially available from Clark & Parsia LLC under a "dual license" approach with open source and proprietary license terms. Pellet is integrated into leading OWL ontology development environments, including TopBraid Composer and Protege, for use in developing OWL ontologies. Pellet is also integrated into many proprietary and publicly available tools and applications, typically in the areas of information integration, decision support, and SOA semantic mediation. <P> This tutorial will lead working programmers, without previous Pellet programming experience, through the use of Pellet as the "semantic engine" powering both information integration and decision support applications in order to teach them how to use Pellet in their own semantic applications. <P>
http://data.semanticuniverse.com/resource/semtech-2009-1660 http://purl.org/dc/elements/1.1/abstract The objective is to introduce to working programmer's the nuts-and-bolts of using Pellet as an OWL-DL reasoner in enterprise IT applications, in particular apps that deal with integration, decision support, and SOA semantic mediation.
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http://data.semanticuniverse.com/resource/semtech-2009-1660 http://purl.org/dc/elements/1.1/title A Programmer's Introduction to Pellet: How to Build Ontology-based Semantic Applications
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http://data.semanticuniverse.com/resource/semtech-2009-1881 http://www.w3.org/2000/01/rdf-schema#label Semantic Web-based E-Commerce: The GoodRelations Ontology
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http://data.semanticuniverse.com/resource/semtech-2009-1881 http://purl.org/dc/elements/1.1/abstract The talk explains what every Web shop, every vendor of Web shop and CMS software, and anybody offering anything on the Web must know about the GoodRelations ontology (http://purl.org/goodrelations/).
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http://data.semanticuniverse.com/resource/semtech-2009-1881 http://purl.org/dc/elements/1.1/description The GoodRelations ontology is now being adopted by major technology vendors and allows more precise product and services search, and frictionless product data interchange on the Web. This talk outlines the purpose and structure of the vocabulary, presents key application scenarios, and reports on experiences in existing applications. Also, the interplay with future search engine technology and recommender systems will be explained. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1558 http://www.w3.org/2000/01/rdf-schema#label HIVE: The "Meta-Solution" Platform that Powers Real-time User Collaboration and Process Formation
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http://data.semanticuniverse.com/resource/semtech-2009-1558 http://purl.org/dc/elements/1.1/abstract We describe a "meta-solution" platform built using Semantic Web technology, OSGi technology and Service Component Architecture that forms a highly customizable, user compose-able, solutions-creation architecture we call HIVE.
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http://data.semanticuniverse.com/resource/semtech-2009-1558 http://purl.org/dc/elements/1.1/title HIVE: The "Meta-Solution" Platform that Powers Real-time User Collaboration and Process Formation
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http://data.semanticuniverse.com/resource/semtech-2009-1558 http://purl.org/dc/elements/1.1/description Today&#39;s analysts work around the clock to gather, compile, and analyze volumes of data to identify opportunities and mitigate threats. Unfortunately, analysts lose valuable time performing non-analytical tasks when their tools fail to inter-operate seamlessly. We describe how HIVE, our "meta-solution" platform, allows users to collaborate and form processes across users and groups in real time or through creation of knowledge bases. <P> We show how HIVE transforms analysts' trade crafts from human-centric, manually intensive activities to increasingly automated, adaptive processes. Additionally, we show how analysts themselves become networked resources who collaborate and share business functions. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1936 http://purl.org/dc/elements/1.1/description <ul> <li><strong>9:45am - 9:55am</strong> <br /> <strong>Welcome</strong> (Robert Coyne, TopQuadrant) </li> <br /> <li><strong>9:55am - 10:30am<br /> </strong><strong>Keynote User Talk 1:</strong><br /> <strong>&quot;Using SPARQLMotion to Execute Task Networks among Distributed Cyber Physical Systems&quot;</strong>, <br /> Cyber-physical systems define networks of interactive sensors and actuators, grounded in the physical world. Such systems require a high degree of interoperation to achieve the system's objective. SPARQLMotion, a model-driven scripting language, has been used to achieve that level of interoperation. In addition, this approach results in greater operational redundancy among networks through distributed control. Three recent extensions to SPARQLMotion will be shared along with a motivating example for their use.<br /> John T. Carson, <em>Software Engineer, Lockheed Martin Aeronautics</em> </li> <br /> <li><strong>10:30am - 11:00am</strong> <br /> <strong>TopBraid - New Capabilities - Sampler 1</strong><br /> Presentation/demo of key aspects of TopQuadrant's Enterprise Vocabulary Management (EVM) Solution Package (just announced).&nbsp; Customers across a range of industries are building EVM solutions on top of the TopBraid Suite platform.&#160; In response to customer requirements, TopQuadrant is offering an EVM Solution Package of commonly needed, high-value components including models, scripts (e.g. for workflow management with approvals), and application configuration templates. <br /> Irene Polikoff, <em>CEO and Co-founder, TopQuadrant, Inc.</em> </li> <br /> <li><strong>11:00am - 11:35am</strong> <br /> <strong>Title: Managing Your Online Social Graph with TopBraid Composer</strong> <br /> In this short user experience session Marco will show you how he makes use of TopBraid Composer to keep track of the Semantic Web Meetup community (http://www.swnyc.org) and how he manages events, rsvps and security. In addition we will take a look at some of the editing and reporting features readily available and build into TopBraid Composer to visualize community data for evaluation and the identification of trends.<br /> Marco Neumann, <em>Information Scientist and CEO &amp; Founder, KONA</em> </li> <br /> <li><strong>11:35am - 12:05pm</strong> <br /> <strong>For QA of ontologies</strong>, many users have interest in knowing key statistics or metrics regarding their models, such the number of properties that reference each class..&nbsp; A simple, flexible, convenient to use solution will be demonstrated within TopBraid.&nbsp; &nbsp;By importing a special ontology, and running provided scripts, desired metrics fields get populated, and a reporting script is used to pretty-print the results to html.<br /> Ralph Hodgson, <em>CTO and Co-founder, TopQuadrant, Inc. </em> </li> <br /> <li><strong>12:05pm - 12:40pm</strong> <br /> <strong>User Feedback Session</strong> (conducted through lunch),<br /> moderated by Tom Fitzgerald,<em> Director of Sales, TopQuadrant</em> </li> <br /> <li><strong>12:40pm - 12:45pm</strong> <strong><br /> Announcements and Closing Remarks</strong> <br /> Robert Coyne,<em> TopQuadrant</em></li> </ul> <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1982 http://purl.org/dc/elements/1.1/description This session sets the stage for the conference. For those new to the field it will define a great many of the terms and concepts that people will need to make the most out of the week. We will explain in business terms what Semantic Technology is and in particular what the relationship is between the broader term "Semantic Technology" and the "Semantic Web." We'll cover how Semantic Technology addresses some of the more pressing problems of the day. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-2136 http://purl.org/dc/elements/1.1/abstract Demonstration of effective usage of generic semantic technology in a specific use case.
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http://data.semanticuniverse.com/resource/semtech-2009-2136 http://purl.org/dc/elements/1.1/description The search and analysis of patent related content is needed by a vast range of organisations to ensure the protection of their intellectual property (IP). These tasks are traditionally addressed through mainstream information retrieval (IR) techniques and require expertise in IR, IP and the domain in focus. Consortium of commercial and academic organizations, namely Ontotext, University of Sheffield and Matrixware will present how the challenges of this domain have been addressed in ExoPatent through a combination of Information Extraction (IE), IR, Semantic Annotation (SA) and Semantic Data Integration techniques, based on GATE, KIM and OWLIM. Various retrieval paradigms will be demonstrated on top of a single semantic index capturing all modalities of the data: structured domain knowledge (e.g. FDA Orange Book and UMLS), automatically extracted annotations and semi-structured patent content. From business perspective, ExoPatent demonstrates how a comprehensive solution to a specific IR problem can be delivered within very limited customization efforts on the basis of generic semantic technology. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1673 http://purl.org/dc/elements/1.1/abstract To introduce the SemTech 2009 audience to the OWL 2, which is on-track to become a W3C standard in Late Spring 2009. This timely panel will provide the audience a chance to hear from and interact with OWL 2 experts.
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http://data.semanticuniverse.com/resource/semtech-2009-1673 http://purl.org/dc/elements/1.1/title Introducing OWL 2: A Panel and Community Discussion
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http://data.semanticuniverse.com/resource/semtech-2009-1673 http://purl.org/dc/elements/1.1/audience Technology - Introductory
http://data.semanticuniverse.com/resource/semtech-2009-1673 http://purl.org/dc/elements/1.1/description OWL 2 is the first major revision of OWL, a key semantic technology standard, and is on-track to become a W3C standard in late Spring 2009, just in time for a panel-led community discussion about the opportunities provided by OWL 2. The panel will be composed of acknowledged OWL 2 experts who've helped shape the new revision. <P> The conversation will focus on new features of OWL 2, including the new profiles, as well as usability enhancements that make OWL 2 better suited for a wide-range of real world problems. There will be ample opportunity for the audience to shape the discussion during Q&A. <P>
http://data.semanticuniverse.com/resource/smartlogic http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/net/biblio#Organization
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http://data.semanticuniverse.com/resource/be-informed http://xmlns.com/foaf/0.1/member http://data.semanticuniverse.com/resource/geert-rensen
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http://data.semanticuniverse.com/resource/semtech-2009-2150 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.w3.org/2002/12/cal/icaltzd/Vevent
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http://data.semanticuniverse.com/resource/semtech-2009-2150 http://purl.org/dc/elements/1.1/description <ol><li>SOA4All - Jesús Contreras, iSOCO</li> <li>SUPER - Monika Kaczmarek, Poznan University of Economics</li> <li>NoTube - Lora Aroyo, Free University Amsterdam</li> </ol> <P>
http://data.semanticuniverse.com/resource/semtech-2009-2150 http://purl.org/dc/elements/1.1/title European Success Stories - Demos and Presentations - Part II
http://data.semanticuniverse.com/resource/semtech-2009-2150 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/jesus-contreras
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http://data.semanticuniverse.com/resource/semtech-2009-2150 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/lora-aroyo
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http://data.semanticuniverse.com/resource/semtech-2009-2150 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/monika-kaczmarek
http://data.semanticuniverse.com/resource/semtech-2009-2150 http://www.w3.org/2000/01/rdf-schema#label European Success Stories - Demos and Presentations - Part II
http://data.semanticuniverse.com/resource/semtech-2009-2150 http://purl.org/dc/elements/1.1/audience Technology - Introductory
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http://data.semanticuniverse.com/resource/dan-pattyn http://www.w3.org/2000/01/rdf-schema#label Dan Pattyn
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http://data.semanticuniverse.com/resource/dan-pattyn http://xmlns.com/foaf/0.1/depiction http://wmb.skyworld.com^^http://www.w3.org/2001/XMLSchema#anyURI
http://data.semanticuniverse.com/resource/dan-pattyn http://www.w3.org/2001/vcard-rdf/3.0#title System Architect
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http://data.semanticuniverse.com/resource/semtech-2009-1641 http://swrc.ontoware.org/ontology#keywords semantic-branding
http://data.semanticuniverse.com/resource/semtech-2009-1641 http://swrc.ontoware.org/ontology#keywords web-marketing
http://data.semanticuniverse.com/resource/semtech-2009-1641 http://swrc.ontoware.org/ontology#keywords data-marketing
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http://data.semanticuniverse.com/resource/semtech-2009-1641 http://purl.org/dc/elements/1.1/audience Business
http://data.semanticuniverse.com/resource/semtech-2009-1641 http://www.w3.org/2000/01/rdf-schema#label Marketing in the Semantic Web
http://data.semanticuniverse.com/resource/semtech-2009-1641 http://purl.org/dc/elements/1.1/audience Non-Technical
http://data.semanticuniverse.com/resource/semtech-2009-1641 http://purl.org/dc/elements/1.1/description What could be the role of semantic technologies in marketing? Just as marketing has thrived in the visible web, the future of a "data web" holds tremendous promise for new ways to find and interact with customers -- and this could very well be an engine that drives Semantic Web adoption. But the paradigms for marketing in this data web will be very different than what most marketers are used to. <P> This session will offer frameworks by which marketing could thrive in the Semantic Web: <P> <ul><li>championing the strategic production of externally valuable data</li> <li>developing authority -- i.e., who is the definitive source of data in a market?</li> <li>"semantic branding" (how a company defines its data will be a part of how it defines its brand)</li> <li>a new type of semantic advertising, where companies pay to be included in other authoritative data sources.</li></ul> <P>
http://data.semanticuniverse.com/resource/semtech-2009-1641 http://swrc.ontoware.org/ontology#keywords semantic-advertising
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http://data.semanticuniverse.com/resource/semtech-2009-1641 http://purl.org/dc/elements/1.1/abstract Provide a framework for how marketing departments could embrace the Semantic Web
http://data.semanticuniverse.com/resource/semtech-2009-1641 http://swrc.ontoware.org/ontology#keywords semantic-marketing
http://data.semanticuniverse.com/resource/semtech-2009-1641 http://purl.org/dc/elements/1.1/title Marketing in the Semantic Web
http://data.semanticuniverse.com/resource/michael-k-bergman http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://xmlns.com/foaf/0.1/Person
http://data.semanticuniverse.com/resource/michael-k-bergman http://www.w3.org/2000/01/rdf-schema#label Michael K Bergman
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http://data.semanticuniverse.com/resource/michael-k-bergman http://xmlns.com/foaf/0.1/depiction http://wmb.skyworld.com/uploads/images/bios/2014.jpg^^http://www.w3.org/2001/XMLSchema#anyURI
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http://data.semanticuniverse.com/resource/michael-k-bergman http://www.w3.org/2001/vcard-rdf/3.0#title CEO
http://data.semanticuniverse.com/resource/michael-k-bergman http://www.w3.org/2001/vcard-rdf/3.0#org Structured Dynamics
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http://data.semanticuniverse.com/resource/semtech-2009-specific-ontologies http://www.w3.org/2000/01/rdf-schema#label Specific Ontologies
http://data.semanticuniverse.com/resource/semtech-2009-1816 http://swrc.ontoware.org/ontology#keywords semantic-technology
http://data.semanticuniverse.com/resource/semtech-2009-1816 http://swrc.ontoware.org/ontology#keywords search
http://data.semanticuniverse.com/resource/semtech-2009-1816 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://data.semanticweb.org/ns/swc/ontology#SessionEvent
http://data.semanticuniverse.com/resource/semtech-2009-1816 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.w3.org/2002/12/cal/icaltzd/Vevent
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http://data.semanticuniverse.com/resource/semtech-2009-1816 http://swrc.ontoware.org/ontology#keywords linked-data
http://data.semanticuniverse.com/resource/semtech-2009-1816 http://swrc.ontoware.org/ontology#keywords rich-uis
http://data.semanticuniverse.com/resource/semtech-2009-1816 http://purl.org/net/biblio#presentedAt http://data.semanticuniverse.com/resource/semtech-2009
http://data.semanticuniverse.com/resource/semtech-2009-1816 http://swrc.ontoware.org/ontology#keywords navigate
http://data.semanticuniverse.com/resource/semtech-2009-1816 http://swrc.ontoware.org/ontology#keywords aggregate
http://data.semanticuniverse.com/resource/semtech-2009-1816 http://purl.org/dc/elements/1.1/abstract Semantic integration is helping to produce rich information spaces of connected data, but further capabilities are needed. We outline intriguing solutions enabling users to effectively navigate and explore such spaces
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http://data.semanticuniverse.com/resource/semtech-2009-1816 http://purl.org/dc/elements/1.1/description This talk is about an emerging new generation of dynamic business applications -- semantic model-driven applications that enable user exploration, and discovery within collections of connected data or rich information spaces. We will present: - the case for why this capability is of such high-value and critical to the broader adoption and use of SW technologies - customer cases from investment banking, pharmaceutical research, healthcare that confirm the demand for these new capabilities - the commonality of requirements from early adopters - e.g., allowing users to flexibly combine and configure search, browsing , exploration and visualization mechanisms - why more traditional technologies cannot deliver the same results - example solutions in progress for visual query editing, dynamic discovery and graphical visualization of results <P>
http://data.semanticuniverse.com/resource/semtech-2009-1816 http://data.semanticweb.org/ns/swc/ontology#hasLocation http://data.semanticuniverse.com/resource/gold
http://data.semanticuniverse.com/resource/semtech-2009-1816 http://www.w3.org/2000/01/rdf-schema#label Not Just Your Daddy's Search or Browsing: Enabling users to interact with rich information spaces
http://data.semanticuniverse.com/resource/semtech-2009-1816 http://purl.org/dc/elements/1.1/title Not Just Your Daddy's Search or Browsing: Enabling users to interact with rich information spaces
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http://data.semanticuniverse.com/resource/semtech-2009-1816 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/tim-s-smith
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http://data.semanticuniverse.com/resource/semtech-2009-1816 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/robert-f-coyne
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http://data.semanticuniverse.com/resource/semtech-2009-1862 http://purl.org/dc/elements/1.1/title Semantics for the Masses: PANCAKE will cook your GRDDL
http://data.semanticuniverse.com/resource/semtech-2009-1862 http://purl.org/dc/elements/1.1/audience Technology - Introductory
http://data.semanticuniverse.com/resource/semtech-2009-1862 http://purl.org/dc/elements/1.1/description GRDDL is a good idea but you need to be a programmer with a good Semantic Web foundation that knows HTML, XHTML, and XSLT, and it provides extract-only capabilities (i.e. no writeback). PANCAKE however is a tool that can be used by ANYONE who surfs the web to annotate and extract semantic information on any web page. PANCAKE is intuitive and easy to use and can provide a bottom up approach to building the semantic web. PANCAKE stands for Page ANalyzer, Connector, Annotator, and Knowledge Extractor. The presentation will include a demonstration of PANCAKE in action. <P>
http://data.semanticuniverse.com/resource/semtech-2009-1862 http://swrc.ontoware.org/ontology#keywords ajax
http://data.semanticuniverse.com/resource/semtech-2009-1862 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/eric-monk
http://data.semanticuniverse.com/resource/semtech-2009-1862 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://data.semanticweb.org/ns/swc/ontology#SessionEvent
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http://data.semanticuniverse.com/resource/semtech-2009-1862 http://swrc.ontoware.org/ontology#keywords grddl
http://data.semanticuniverse.com/resource/semtech-2009-1862 http://data.semanticweb.org/ns/swc/ontology#isPartOf http://data.semanticuniverse.com/resource/semtech-2009-semantic-web
http://data.semanticuniverse.com/resource/semtech-2009-1862 http://swrc.ontoware.org/ontology#keywords semantic-web
http://data.semanticuniverse.com/resource/semtech-2009-1862 http://purl.org/dc/elements/1.1/abstract PANCAKE is a set of AJAX components and web services that enables any user to graphically markup any web page with semantic content.
http://data.semanticuniverse.com/resource/semtech-2009-1862 http://swrc.ontoware.org/ontology#keywords rdf
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http://data.semanticuniverse.com/resource/semtech-2009-1862 http://www.w3.org/2000/01/rdf-schema#label Semantics for the Masses: PANCAKE will cook your GRDDL
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http://data.semanticuniverse.com/resource/steve-hamby http://xmlns.com/foaf/0.1/depiction http://wmb.skyworld.com^^http://www.w3.org/2001/XMLSchema#anyURI
http://data.semanticuniverse.com/resource/steve-hamby http://www.w3.org/2001/vcard-rdf/3.0#title Chief Technology Officer & Vice President, Semantic Technologies and Information Fusion
http://data.semanticuniverse.com/resource/steve-hamby http://www.w3.org/2001/vcard-rdf/3.0#org Orbis Technologies, Inc.
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http://data.semanticuniverse.com/resource/semtech-2009-2048 http://purl.org/dc/elements/1.1/title Panel: Multimedia Semantics
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http://data.semanticuniverse.com/resource/semtech-2009-2048 http://purl.org/dc/elements/1.1/abstract What new multimedia search, filtering and categorization tools are emerging, enabled by semantic technologies?
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http://data.semanticuniverse.com/resource/semtech-2009-2048 http://purl.org/dc/elements/1.1/description Recent advances in speech, language, and semantic technologies have led to unprecedented levels of accuracy, speed, and overall effectiveness in the automatic tagging, categorization, and discoverability of rich-media assets. This panel will cover case studies and applications in the areas of: <P> <ul><il>Speech semantics </il> <il>Video semantics</il> <il>Automaticated multimedia tagging</il> <il>Rich-media search and filtering</il> <il>Multimedia content integration </il> <il>Syndication enablement</ul> <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1774 http://purl.org/dc/elements/1.1/abstract Present the new set of Protege tools, including vastly improved support for reasoning, debugging, and visualizations, as well as many new features to support collaboration.
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http://data.semanticuniverse.com/resource/semtech-2009-1774 http://purl.org/dc/elements/1.1/title Next Generation Protege: OWL 2 Ontology Development for Web 2.0
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http://data.semanticuniverse.com/resource/semtech-2009-1774 http://purl.org/dc/elements/1.1/description Protege is arguably the most popular ontology editor for the Semantic Web. In this presentation, we will discuss the new generation of the Protege tools which actively supports collaborative ontology development, both in a desktop client and in a Web browser. It includes facilities to discuss modeling decisions and to reach consensus, to record provenance of ontology elements and analyze concept histories, to define roles and privileges for different groups of users. The service-based plug-in architecture uses the OSGi standard and allows developers to implement their own customized views and to integrate components of the Protégé interface in their application. We will discuss the wide range of reasoning support in Protege that is indispensable to users in finding and fixing inconsistencies in their ontologies, including integration with the Pellet and Fact++ reasoners, debugging and visual explanation features. The wizard-style refactoring and extraction of portions and views of large ontologies are crucial features of any real-life ontology development process. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1995 http://purl.org/dc/elements/1.1/description Semantic Search is often considered to be the holy grail of applying semantics to the web. But there is another set of applications that are gaining prominence - contextual. Several companies are applying semantic technologies to infer user context and then provide enhanced experience on the web. <P> This discussion will look at how semantics can be applied to gathering and interpreting context. It will look at situational awareness, entity extraction APIs, semantic preview technologies, context-based social technologies and contextual shortcuts. <P>
http://data.semanticuniverse.com/resource/semtech-2009-1995 http://purl.org/dc/elements/1.1/abstract Applications that apply semantics to infer user context. From entity extraction APIs, to contextual shortcuts technologies and social add-ons, companies are using semantics to enhance user experience.
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http://data.semanticuniverse.com/resource/semtech-2009-2149 http://purl.org/dc/elements/1.1/description <ol><li>Collibra - Pieter De Leenheer, Collibra</li> <li>NeOn - Mathieu D'Aquin, The Open University</li> <li>Active - Paul Warren, British Telecommunications</li> </ol> <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1608 http://purl.org/dc/elements/1.1/abstract Stingray software discovers concepts in documents and associates them with phrases, documents, people, blogs, etcetera. The session will provide examples of analyses performed using Stingray and discuss applications.
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http://data.semanticuniverse.com/resource/semtech-2009-1608 http://purl.org/dc/elements/1.1/description Most, if not all, semantic technologies rely on manually created, grammar-networks, dictionaries, thesauri, ontologies, etcetera. This approach can yield impressive results for generic or very common domains, but it can cause problems in specialized domains. Words can be used with less common meanings and completely new words may be created (i.e. product names) that would be unknown to a priori dictionaries. In addition, correct grammar is often not guaranteed, as can be readily seen in email and text messages. To overcome these problems we have developed Stringray &#45; a suite of software driven by algorithms that can learn word meanings and grammatical categories as used in a given text corpus. This information can be used to find synonyms, and calculate the similarity of a word, phrase, block of text, or document to another word, phrase, block or text or document. The algorithms provide a traversable network, which represents the relationship of words and phrases to concepts and concepts to documents or sections of documents. This output facilitates the exploration of a document set and can form a basis for document dissemination, thus facilitating the Semantic Web. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1875 http://purl.org/dc/elements/1.1/description The presentation will outline the general goals and position of the Jazz REST Services and specifically the problems facing us in the development of a platform to be used by multiple development teams to develop disparate applications within the IBM Rational Portfolio. The presentation will then describe how we started to use RDF as a format for representing indexed properties and how this initial use became pervasive in the design of the incubator project. The presentation will also describe how the experiences from the incubator have become folded into the general plans for the IBM Jazz Foundation and the additional design steps we are advocating for application developers. Finally the presentation will present our findings in terms of those things that worked well, those that didn't and where we feel there is more work for us and the RDF community. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1875 http://purl.org/dc/elements/1.1/abstract To introduce the audience to the work done in IBM using RDF as the key technology to allow us to develop a platform for developing ALM tools with heterogeneous resources yet allow a rich semantic query.
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http://data.semanticuniverse.com/resource/keith-deweese http://www.w3.org/2001/vcard-rdf/3.0#org Tribune Company-Tribune Interactive
http://data.semanticuniverse.com/resource/semtech-2009-1811 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://data.semanticweb.org/ns/swc/ontology#ConferenceEvent
http://data.semanticuniverse.com/resource/semtech-2009-1811 http://www.w3.org/2000/01/rdf-schema#label Building Innovation Networks: Applying Semantic Technology in the Life Sciences
http://data.semanticuniverse.com/resource/semtech-2009-1811 http://purl.org/dc/elements/1.1/description People too are an important part of the Innovation Network - much of an organization's data is locked in the brains of their experts. In this presentation, we will explore specific tools and techniques to build Innovation Networks. An Innovation Network will be demonstrated that combines data assets from heterogeneous sources with expert users. Users of the Innovation Network will be able to collaborate with other users, sharing knowledge and expertise. <P>
http://data.semanticuniverse.com/resource/semtech-2009-1811 http://purl.org/dc/elements/1.1/title Building Innovation Networks: Applying Semantic Technology in the Life Sciences
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http://data.semanticuniverse.com/resource/semtech-2009-1811 http://swrc.ontoware.org/ontology#keywords semantic-web
http://data.semanticuniverse.com/resource/semtech-2009-1811 http://purl.org/dc/elements/1.1/abstract In this discussion, specific tools and strategies will be explored to launch Innovation Networks in your organization. Using Semantic Technologies, Innovation Networks combine data assets and experts into a seamless semantic environment.
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http://data.semanticuniverse.com/resource/semtech-2009-1709 http://www.w3.org/2000/01/rdf-schema#label Introducing and Applying Semantic Technologies to the Financial Services Industry
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http://data.semanticuniverse.com/resource/semtech-2009-1709 http://purl.org/dc/elements/1.1/description Recognos Financial LLC. is partnered with Metatomix Inc. to provide the Financial Services Industry with practical end-to-end semantic solutions to everyday problems focused on market and internal data, integration, and applications, that are efficient, cost effective, and timely. Based on the Metatomix platform, Recognos Financial works with prominent industry firms to identify solutions to problems that traditional technologies simply cannot solve in a timely and cost effective manner. A key component of the solutions is the structuring, cleansing and validation of unstructured data, and the integration of that data with internal silos for the creation of applications that address immediate issues of concern. Specific points of interest include: <ul><li>The SEC, EDGAR and the Wealth of Data available</li> <li>The Recognos Financial Interactive Prospectus</li> <li>Mutual Funds and Transparency of Data</li> <li>Private Equity Funds and their Valuation</li> <li>Mortgage Backed Securities and Assessing Their True Risk.</li></ul> <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1709 http://purl.org/dc/elements/1.1/abstract Case Study on the application of semantic technologies within the Financial Services Industry to solve complex data acquisition, cleansing, and integration issues regarding mutual funds, private equity, and mortgage backed securities issues.
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http://data.semanticuniverse.com/resource/richard-beatch http://www.w3.org/2001/vcard-rdf/3.0#org Earley and Associates
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http://data.semanticuniverse.com/resource/semtech-2009-1723 http://swrc.ontoware.org/ontology#keywords searchmonkey
http://data.semanticuniverse.com/resource/semtech-2009-1723 http://www.w3.org/2002/12/cal/icaltzd/dtEnd 2009-06-17T15:30:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
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http://data.semanticuniverse.com/resource/semtech-2009-1723 http://purl.org/dc/elements/1.1/description In this presentation we reflect on the experiences we have gained in the year since Yahoo's groundbreaking Semantic Web application platform launched in May, 2008. We discuss the the experiences of our communities of developers and publishers who got acquainted with semantic technologies for the very first time through SearchMonkey. This presentation provides key insights to those interested in what the Semantic Web looks like in action and at a large scale, viewed from the perspective of a search engine provider. It also highlights critical bottlenecks in the adoption of semantic technologies on the Web. <P>
http://data.semanticuniverse.com/resource/semtech-2009-1723 http://www.w3.org/2000/01/rdf-schema#label Year of the Monkey: Lessons from the first year of SearchMonkey
http://data.semanticuniverse.com/resource/semtech-2009-1723 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://data.semanticweb.org/ns/swc/ontology#SessionEvent
http://data.semanticuniverse.com/resource/semtech-2009-1723 http://purl.org/dc/elements/1.1/title Year of the Monkey: Lessons from the first year of SearchMonkey
http://data.semanticuniverse.com/resource/semtech-2009-1723 http://purl.org/dc/elements/1.1/abstract The experiences gained since launching Yahoo!'s groundbreaking Semantic Web application platform, SearchMonkey. Key insights from the perspective of a search engine provider. Technologies discussed: SearchMonkey, DataRSS, RDF, RDFa, OWL, ontologies
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http://data.semanticuniverse.com/resource/semtech-2009-1990 http://purl.org/dc/elements/1.1/description Libraries have seized upon the Web, using it both to extend and enrich their traditional proposition and to explore new possibilities. <P> With a long tradition of applying structure to information, librarians might be considered well placed to rapidly adopt the lessons of the Semantic Web, although commercial systems originally created to manage physical card catalogues have proved slow to innovate in any significant fashion. <P> Open Source projects such as Fedora (now DuraSpace), SIMILE and Greenstone have proved more ambitious, applying semantic technologies to niche areas of the library function such as the description and management of pre-prints created during the process of publishing scholarly papers. <P> This panel will discuss recent developments in the Digital Library space, and consider opportunities for future exploitation of semantic technologies in libraries around the world. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1990 http://purl.org/dc/elements/1.1/title Digital Libraries
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http://data.semanticuniverse.com/resource/semtech-2009-1667 http://purl.org/dc/elements/1.1/description The Dutch government developed a semantic infrastructure to provide the public with context specific access to all government information and services. In 2008 several new services have been added, realizing the vision of a semantically enabled infrastructure to support context driven information services, advice, applications, business processes and decisions. For this purpose Be Informed is integrated with off-the-shelf search technology to support all the front offices and digital processes of the government. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-2112 http://purl.org/dc/elements/1.1/description Ontos, a pioneer in semantic web technologies, will show how you can add value to your own applications using Ontos API Semantic Web Service. Subsuming the classical approach of sending texts to a NLP system returning named entities, facts and semantic relations, Ontos takes step forward and provides a way to personalize the NLP platform. Instead of being limited to a system that defines what you get as semantic content, Ontos API users have a possibility to define their own types of named entities, use external dictionaries, tune concepts from the core ontology, and ultimately create personal semantic information silos. A variety of out-of-the-box Web widgets allow the user to display the semantic content. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-2112 http://purl.org/dc/elements/1.1/title Ontos API: The First Personalized Semantic Web Service
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http://data.semanticuniverse.com/resource/semtech-2009-2056 http://swrc.ontoware.org/ontology#keywords sparql
http://data.semanticuniverse.com/resource/semtech-2009-2056 http://purl.org/dc/elements/1.1/abstract Learn the SPARQL Semantic Web query language from the ground up and hands-on, inspired by real example queries that can be run today on the Web.
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http://data.semanticuniverse.com/resource/semtech-2009-1694 http://purl.org/dc/elements/1.1/description The purpose of the sidebar will be to discuss government-specific issues in adopting and implementing semantic technologies and networking across government domains to learn about successful implementations and common benefits. <P> The format of the sidebar will be group discussions with invited expert panels / discussion. Many of the leading semantic technology vendors will be in attendance at the Semantic Technology Conference, which provides the sidebar with industry's best and brightest to answer our toughest questions, and help us solve our toughest problems. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-2125 http://purl.org/dc/elements/1.1/abstract Semantic Signatures make it possible to accurately categorize content and/or perform matches that return highly relevant content easily overlooked by keyword search and/or entity based extraction.
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http://data.semanticuniverse.com/resource/semtech-2009-2125 http://www.w3.org/2000/01/rdf-schema#label Creating the Digital DNA of Text for Search&amp;Matching Applications
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http://data.semanticuniverse.com/resource/semtech-2009-2125 http://purl.org/dc/elements/1.1/description Semantic Signatures make it possible to accurately categorize content and/or perform matches that return highly relevant content easily overlooked by keyword search and/or entity based extraction. Delivered through the TextWise Semantic Cloud, Semantic Signatures can be tailored to search and matching applications for any domain or content type, from blogs to online advertising, to new languages and verticals such as pharmaceutical and intellectual property. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1662 http://purl.org/dc/elements/1.1/description Managing massive amounts of OWL data, including query answering and reasoning, is a challenging technical prospect, but one which is increasingly needed for a variety of real world application domains from health care life sciences to financials and government. Oracle and Clark & Parsia LLC both address a different end of this spectrum with their Oracle 11g and Pellet products. Panel members from both Oracle, Clark & Parsia, as well as customers of each organization, present their experience with using the new integrated product offering which combines Oracle 11g OWL storage and reasoning capabilities with Pellet's OWL-DL reasoner. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1662 http://purl.org/dc/elements/1.1/title Managing OWL: Using Oracle and Pellet for as Massively Scalable, Highly Expressive OWL Infrastructure
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http://data.semanticuniverse.com/resource/semtech-2009-1662 http://purl.org/dc/elements/1.1/abstract To introduce the new OWL management infrastructure provided by the integration of Oracle and Pellet that enables both massively scalable query answering and data management as well as highly expressive OWL reasoning in a tightly integrated commercial offering.
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http://data.semanticuniverse.com/resource/semtech-2009-2069 http://purl.org/dc/elements/1.1/description Semantic technology changes the rules of the search marketspace, but exactly how, and by how much, are the key questions. Announcements are made daily for new companies with niche search applications, and clearly lots of start-ups are betting they can gain enough market share to create value for their investors. Meanwhile the major players are rapidly adding semantic enhancements to existing services to improve relevancy, create new query services, improve ad targeting and provide more customization options for users. The field is full of innovation, competition and new investment. This Keynote Panel session brings together major incumbents with promising upstarts to assess the current and future state of the semantic search market. Can semantic technology open up truly differentiated search services? Will success be won with technological advantage, creative branding and positioning, or sheer market dominance? The executives represented on the panel bring deep technical expertise and business savvy. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1851 http://purl.org/dc/elements/1.1/title Bridging Semantics: An Application of Ontology in Corporate Knowledge Management
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http://data.semanticuniverse.com/resource/semtech-2009-1851 http://purl.org/dc/elements/1.1/description Corporate knowledge management deals with a great variety of audiences and their individual ways of expressing meaning. Can customers, agents, and content managers share their knowledge within one information eco-system? This session presents a case where users&#39; mental models toward 300 frequently-asked-questions are captured and built into a business ontology to support a search and browse system. It further explores the benefit of semantic technology in user-centered system designs. An ontology-supported content system brings together users and semantics, and a high degree of involvement of the actual users continuously betters the ontology. This case study demonstrates the mutual benefit between ontology and user-centered design. <P> This session will cover the following topics: <ul><li>User-centered knowledge management system design</li> <li>Building a business ontology</li> <li>Taxonomy and folksonomy working together</li> <li>Improving search systems using semantic technology</li></ul> <P>
http://data.semanticuniverse.com/resource/semtech-2009-1851 http://www.w3.org/2000/01/rdf-schema#label Bridging Semantics: An Application of Ontology in Corporate Knowledge Management
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http://data.semanticuniverse.com/resource/semtech-2009-1851 http://purl.org/dc/elements/1.1/abstract This case study demonstrates the mutual benefit between ontology and user-centered design; it also showcases the practical value of semantic technology in search system improvement.
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http://data.semanticuniverse.com/resource/brian-donnelly http://www.w3.org/2001/vcard-rdf/3.0#org Semantic Discovery System
http://data.semanticuniverse.com/resource/semtech-2009-2051 http://purl.org/dc/elements/1.1/audience Technology - Intermediate
http://data.semanticuniverse.com/resource/semtech-2009-2051 http://swrc.ontoware.org/ontology#keywords ontology-management
http://data.semanticuniverse.com/resource/semtech-2009-2051 http://swrc.ontoware.org/ontology#keywords declarative
http://data.semanticuniverse.com/resource/semtech-2009-2051 http://swrc.ontoware.org/ontology#keywords reasoners
http://data.semanticuniverse.com/resource/semtech-2009-2051 http://www.w3.org/2002/12/cal/icaltzd/dtStart 2009-06-18T11:00:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
http://data.semanticuniverse.com/resource/semtech-2009-2051 http://data.semanticweb.org/ns/swc/ontology#isPartOf http://data.semanticuniverse.com/resource/semtech-2009-foundational-topics
http://data.semanticuniverse.com/resource/semtech-2009-2051 http://purl.org/dc/elements/1.1/abstract Describe the future of software development in the context of the Semantic Web
http://data.semanticuniverse.com/resource/semtech-2009-2051 http://swrc.ontoware.org/ontology#keywords alignment
http://data.semanticuniverse.com/resource/semtech-2009-2051 http://purl.org/dc/elements/1.1/description <h4>PART I | How the Semantic Web Redefines Software Development</h4> <p>In this session, we discuss the trend away from programmatic development and towards declarative models. New ontologies that can describe software itself add the semantics that will allow us to change languages and run-time environments at any time, and with little effort. We will see through both hypothetical and real-world examples how the declarative model can evolve into a world where everyone is a software developer in some sense, and code may never become obsolete.</p> <P> <hr width="10%" /> <P> <h4>PART II | Four Revolutionary Semantic Web Programming Challenges and Current Approaches</h4> <p>The Semantic Web revolution creates its own challenges that smaller approaches escape. These challenges open up new opportunities when properly addressed. We examine four interrelated challenges that, in many cases, offer a practical programming solution and research path.</p> <P> <ul><li>Ontology Management</li> <li>Semantic Integration</li> <li>Advanced Reasoning</li> <li>Visualization</li></ul> <P>
http://data.semanticuniverse.com/resource/semtech-2009-2051 http://swrc.ontoware.org/ontology#keywords software
http://data.semanticuniverse.com/resource/semtech-2009-2051 http://swrc.ontoware.org/ontology#keywords visualization
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http://data.semanticuniverse.com/resource/semtech-2009-2051 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/brian-d-eubanks
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http://data.semanticuniverse.com/resource/semtech-2009-2051 http://www.w3.org/2000/01/rdf-schema#label Semantic Software Development: How is it Different?
http://data.semanticuniverse.com/resource/semtech-2009-2051 http://purl.org/dc/elements/1.1/title Semantic Software Development: How is it Different?
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http://data.semanticuniverse.com/resource/semtech-2009-1717 http://swrc.ontoware.org/ontology#keywords case-study
http://data.semanticuniverse.com/resource/semtech-2009-1717 http://www.w3.org/2000/01/rdf-schema#label The Rise and Fall (and Rise) of TOPICS
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http://data.semanticuniverse.com/resource/semtech-2009-1717 http://purl.org/dc/elements/1.1/title The Rise and Fall (and Rise) of TOPICS
http://data.semanticuniverse.com/resource/semtech-2009-1717 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/barbara-mcglamery
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http://data.semanticuniverse.com/resource/semtech-2009-1717 http://swrc.ontoware.org/ontology#keywords classification
http://data.semanticuniverse.com/resource/semtech-2009-1717 http://swrc.ontoware.org/ontology#keywords semantic-tools
http://data.semanticuniverse.com/resource/semtech-2009-1717 http://data.semanticweb.org/ns/swc/ontology#hasLocation http://data.semanticuniverse.com/resource/crystal
http://data.semanticuniverse.com/resource/semtech-2009-1717 http://purl.org/dc/elements/1.1/abstract Time Inc built an RDF & OWL based classification system called TOPICS. This presentation is about the ups and downs of this project and where it's going in the future.
http://data.semanticuniverse.com/resource/semtech-2009-1717 http://purl.org/dc/elements/1.1/audience Non-Technical
http://data.semanticuniverse.com/resource/semtech-2009-1717 http://www.w3.org/2002/12/cal/icaltzd/dtStart 2009-06-16T11:45:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
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http://data.semanticuniverse.com/resource/semtech-2009-1717 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/rachel-lovinger
http://data.semanticuniverse.com/resource/semtech-2009-1717 http://swrc.ontoware.org/ontology#keywords adoption
http://data.semanticuniverse.com/resource/semtech-2009-1717 http://swrc.ontoware.org/ontology#keywords lessons-learned
http://data.semanticuniverse.com/resource/semtech-2009-1717 http://swrc.ontoware.org/ontology#keywords media
http://data.semanticuniverse.com/resource/semtech-2009-1717 http://purl.org/dc/elements/1.1/description Time Inc. has a major online publishing component. They were among the first media companies to delve into using semantic technology to augment content delivery. They experienced organizational and technical issues that came with being on this cutting edge. This case study will explore: <P> <ul><li>How the project got started</li> <li>How it was misused and underutilized</li> <li>Lessons learned</li> <li>How it was reborn</li> <li>Where it&#39;s going next</li></ul> <P>
http://data.semanticuniverse.com/resource/semtech-2009-1717 http://swrc.ontoware.org/ontology#keywords publishing
http://data.semanticuniverse.com/resource/lockheed-martin-aeronautics-company http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/net/biblio#Organization
http://data.semanticuniverse.com/resource/lockheed-martin-aeronautics-company http://xmlns.com/foaf/0.1/name Lockheed Martin Aeronautics Company
http://data.semanticuniverse.com/resource/lockheed-martin-aeronautics-company http://xmlns.com/foaf/0.1/member http://data.semanticuniverse.com/resource/john-t-carson
http://data.semanticuniverse.com/resource/lockheed-martin-aeronautics-company http://www.w3.org/2000/01/rdf-schema#label Lockheed Martin Aeronautics Company
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http://data.semanticuniverse.com/resource/semtech-2009-1763 http://purl.org/net/biblio#presentedAt http://data.semanticuniverse.com/resource/semtech-2009
http://data.semanticuniverse.com/resource/semtech-2009-1763 http://www.w3.org/2000/01/rdf-schema#label T15: Semantic Web Programming
http://data.semanticuniverse.com/resource/semtech-2009-1763 http://swrc.ontoware.org/ontology#keywords reasoners
http://data.semanticuniverse.com/resource/semtech-2009-1763 http://swrc.ontoware.org/ontology#keywords programming
http://data.semanticuniverse.com/resource/semtech-2009-1763 http://www.w3.org/2002/12/cal/icaltzd/dtEnd 2009-06-15T16:45:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
http://data.semanticuniverse.com/resource/semtech-2009-1763 http://purl.org/dc/elements/1.1/description This tutorial outlines a step-by-step, code-based approach to enable you to quickly master the fundamentals in building a Semantic Web application. We quickly establish the key concepts and their relationship to application development. Then we programmaticly build the knowledge model, integrate diverse information sources, expose to various reasoners, query the unified value, and then export to various formats and methods using an iterative, collaborative format to get you involved and learning. This takes you through all necessary tools and techniques to quickly get started on your own solution. <ul><li>Semantic Web Application Frameworks</li> <li>Semantic Reasoners</li> <li>Semantic Web Integrated Development Environments and Tools</li> <li>Dynamic Knowledge Model Constructs including OWL 2, RDFS, SWRL, Microformats, and eRDF</li> <li>Semantic Web Application Architectures</li></ul> <P>
http://data.semanticuniverse.com/resource/semtech-2009-1763 http://swrc.ontoware.org/ontology#keywords semantic-web-application-frameworks
http://data.semanticuniverse.com/resource/semtech-2009-1763 http://purl.org/dc/elements/1.1/abstract Build practical Semantic Web applications through an example-based, code-driven approach that covers the critical concepts, tools, and constructs.
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http://data.semanticuniverse.com/resource/semtech-2009-1763 http://purl.org/dc/elements/1.1/title T15: Semantic Web Programming
http://data.semanticuniverse.com/resource/semtech-2009-1763 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://data.semanticweb.org/ns/swc/ontology#TutorialEvent
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http://data.semanticuniverse.com/resource/christian-f-hempelmann http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://xmlns.com/foaf/0.1/Person
http://data.semanticuniverse.com/resource/christian-f-hempelmann http://www.w3.org/2000/01/rdf-schema#label Christian F Hempelmann
http://data.semanticuniverse.com/resource/christian-f-hempelmann http://xmlns.com/foaf/0.1/name Christian F Hempelmann
http://data.semanticuniverse.com/resource/christian-f-hempelmann http://xmlns.com/foaf/0.1/depiction http://wmb.skyworld.com/uploads/images/bios/1941.jpg^^http://www.w3.org/2001/XMLSchema#anyURI
http://data.semanticuniverse.com/resource/christian-f-hempelmann http://www.w3.org/2001/vcard-rdf/3.0#title Director of Ontological Semantics
http://data.semanticuniverse.com/resource/christian-f-hempelmann http://www.w3.org/2001/vcard-rdf/3.0#org RiverGlass, Inc.
http://data.semanticuniverse.com/resource/semtech-2009-1731 http://purl.org/dc/elements/1.1/title Enterprise Semantic Portal System based on WIKI and Blogs.
http://data.semanticuniverse.com/resource/semtech-2009-1731 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/tae-sung-ahn
http://data.semanticuniverse.com/resource/semtech-2009-1731 http://swrc.ontoware.org/ontology#keywords semantic-blog
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http://data.semanticuniverse.com/resource/semtech-2009-1731 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://data.semanticweb.org/ns/swc/ontology#ConferenceEvent
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http://data.semanticuniverse.com/resource/semtech-2009-1731 http://www.w3.org/2002/12/cal/icaltzd/dtStart 2009-06-17T10:00:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
http://data.semanticuniverse.com/resource/semtech-2009-1731 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.w3.org/2002/12/cal/icaltzd/Vevent
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http://data.semanticuniverse.com/resource/semtech-2009-1731 http://purl.org/dc/elements/1.1/description In enterprise environment, about 80% of contents are unstructured data likes text files and office documents. These unstructed contents has few meta data, which make hard to find its meaning, so usually FTR (full text retrieval) search engine is used for information retrieval. However, this is not enough. Despite of recent robust approach using Natural Language Processing technology, to find meaning of unstructured data have still many hurdle to overcome. This presentation shows how to combine semi-automatic semantic annotations with user interactive manner while utilizing well known WIKI and blogs systems to make semantic meta data. This system used RDF/OWL for storing and RDFa format for converting an existing xhtml data. With the accumulated semantic meta data, enterprise and government can get better search results and analysis reports. <P>
http://data.semanticuniverse.com/resource/semtech-2009-1731 http://purl.org/net/biblio#presentedAt http://data.semanticuniverse.com/resource/semtech-2009
http://data.semanticuniverse.com/resource/semtech-2009-1731 http://purl.org/dc/elements/1.1/audience Technology - Intermediate
http://data.semanticuniverse.com/resource/semtech-2009-1731 http://www.w3.org/2000/01/rdf-schema#label Enterprise Semantic Portal System based on WIKI and Blogs.
http://data.semanticuniverse.com/resource/semtech-2009-1731 http://purl.org/dc/elements/1.1/abstract Enterprise 2.0 is highly affected by WEB 2.0 technology like WIKI and Blogs. This presentation shows how to apply semantic technology such as Semantic Repository, Reasoning Engine to WIKI, Blogs and any other systems that an user can create contents.
http://data.semanticuniverse.com/resource/semtech-2009-1731 http://swrc.ontoware.org/ontology#keywords semantic-web
http://data.semanticuniverse.com/resource/semtech-2009-1731 http://swrc.ontoware.org/ontology#keywords semantic-portal
http://data.semanticuniverse.com/resource/semtech-2009-1731 http://swrc.ontoware.org/ontology#keywords semantic-wiki
http://data.semanticuniverse.com/resource/structured-dynamics http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/net/biblio#Organization
http://data.semanticuniverse.com/resource/structured-dynamics http://xmlns.com/foaf/0.1/name Structured Dynamics
http://data.semanticuniverse.com/resource/structured-dynamics http://xmlns.com/foaf/0.1/member http://data.semanticuniverse.com/resource/michael-k-bergman
http://data.semanticuniverse.com/resource/structured-dynamics http://www.w3.org/2000/01/rdf-schema#label Structured Dynamics
http://data.semanticuniverse.com/resource/semtech-2009-1486 http://www.w3.org/2000/01/rdf-schema#label The Evolving Semantic Web: From Military Technology to Venture Capital
http://data.semanticuniverse.com/resource/semtech-2009-1486 http://www.w3.org/2002/12/cal/icaltzd/dtStart 2009-06-14T16:30:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
http://data.semanticuniverse.com/resource/semtech-2009-1486 http://swrc.ontoware.org/ontology#keywords daml
http://data.semanticuniverse.com/resource/semtech-2009-1486 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://data.semanticweb.org/ns/swc/ontology#SessionEvent
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http://data.semanticuniverse.com/resource/semtech-2009-1486 http://purl.org/dc/elements/1.1/description Like the Internet itself, many of the critical initial investments in Semantic Web technology were made by the US military. A significant fraction of Semantic Web research funding between 2000 and 2005 was provided by DARPA, the central research organization of the US Department of Defense. Today the majority of Semantic Web applications are developing in corporate data integration, consumer Internet applications, and e-science. In this talk, I will describe how the Semantic Web has evolved, consider the current and developing Semantic Web opportunities from the perspective of venture investment, and discuss possible futures for the Semantic Web. <P>
http://data.semanticuniverse.com/resource/semtech-2009-1486 http://purl.org/dc/elements/1.1/title The Evolving Semantic Web: From Military Technology to Venture Capital
http://data.semanticuniverse.com/resource/semtech-2009-1486 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/mark-greaves
http://data.semanticuniverse.com/resource/semtech-2009-1486 http://swrc.ontoware.org/ontology#keywords eii
http://data.semanticuniverse.com/resource/semtech-2009-1486 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.w3.org/2002/12/cal/icaltzd/Vevent
http://data.semanticuniverse.com/resource/semtech-2009-1486 http://purl.org/net/biblio#presentedAt http://data.semanticuniverse.com/resource/semtech-2009
http://data.semanticuniverse.com/resource/semtech-2009-1486 http://purl.org/dc/elements/1.1/abstract This presentation traces the R&D history of the Semantic Web, and shows how the semantic web has evolved from serving a military need into a broad-scale commercial technology.
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http://data.semanticuniverse.com/resource/semtech-2009-1486 http://www.w3.org/2002/12/cal/icaltzd/dtEnd 2009-06-14T18:30:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
http://data.semanticuniverse.com/resource/semtech-2009-1486 http://swrc.ontoware.org/ontology#keywords scalability
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http://data.semanticuniverse.com/resource/semtech-2009-1486 http://purl.org/dc/elements/1.1/audience Technology - Introductory
http://data.semanticuniverse.com/resource/semtech-2009-1486 http://swrc.ontoware.org/ontology#keywords rdf
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http://data.semanticuniverse.com/resource/semtech-2009-2138 http://purl.org/dc/elements/1.1/abstract An embryonic data storage and distribution concept that has the potential to form a universal bridge between semantic applications and all types of stored data.
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http://data.semanticuniverse.com/resource/semtech-2009-2138 http://purl.org/dc/elements/1.1/description In this talk Harry will introduce and demonstrate an embryonic data storage and distribution product that has the potential to form a universal bridge between semantic applications and all types of stored data wherever located. The key innovation is that all types of both application and metadata are expressed as independent assertions (enhanced RDF triples) where the subject is regarded as parent within a single tree structure (A-tree). Lineage through this parental path carries all inheritance and other mandatory relationships as determined by the predicate which is also defined within the same tree. <P>
http://data.semanticuniverse.com/resource/semtech-2009-2138 http://purl.org/dc/elements/1.1/audience Technology - Intermediate
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http://data.semanticuniverse.com/resource/semtech-2009-2138 http://www.w3.org/2000/01/rdf-schema#label The "A-tree" - A Conceptual Bridge between Conventional Databases and Semantic Technology
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http://data.semanticuniverse.com/resource/semtech-2009-2138 http://purl.org/dc/elements/1.1/title The "A-tree" - A Conceptual Bridge between Conventional Databases and Semantic Technology
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http://data.semanticuniverse.com/resource/semtech-2009-2152 http://www.w3.org/2000/01/rdf-schema#label Ontology Development Using UML and the ODM - Bridging the gap between semantics and software engineering
http://data.semanticuniverse.com/resource/semtech-2009-2152 http://purl.org/dc/elements/1.1/abstract This talk will show how UML can be used for ontology development.
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http://data.semanticuniverse.com/resource/semtech-2009-2152 http://purl.org/dc/elements/1.1/description The Ontology Definition Metamodel (ODM) is a recently adopted standard from the Object Management Group that supports ontology development and conceptual modeling in several standard representation languages. It provides a coherent framework for visual ontology creation based on OMG's Meta Object Facility (MOF&#8482;) and UML&#8482; (Unified Modeling Language), bridging Model Driven Architecture (MDA&#174;)-based standards for automating the physical management and integration of metadata with Semantic Web technologies. <P> In this talk, we will: <ul><li>Discuss the motivation to use UML for ontology development</li> <li>Provide a brief overview of the ODM</li> <li>Demonstrate ontology modeling using the ODM</li> </ul> <P>
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http://data.semanticuniverse.com/resource/semtech-2009-2152 http://purl.org/dc/elements/1.1/title Ontology Development Using UML and the ODM - Bridging the gap between semantics and software engineering
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http://data.semanticuniverse.com/resource/semtech-2009-2120 http://www.w3.org/2000/01/rdf-schema#label The Big Picture - How Semantic Technologies Introduce a New Paradigm for Interaction
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http://data.semanticuniverse.com/resource/semtech-2009-2120 http://purl.org/dc/elements/1.1/title The Big Picture - How Semantic Technologies Introduce a New Paradigm for Interaction
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http://data.semanticuniverse.com/resource/semtech-2009-2120 http://purl.org/dc/elements/1.1/abstract The mainstream adoption of Web 2.0 technologies &#150; from RSS feeds to social networks &#150; is hastening the demise of the portal. With each new face on Facebook, and each new Twitter account, our once routine habits and traffic patterns shift.
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http://data.semanticuniverse.com/resource/semtech-2009-2120 http://purl.org/dc/elements/1.1/description The mainstream adoption of Web 2.0 technologies &#150; from RSS feeds to social networks &#150; is hastening the demise of the portal. With each new face on Facebook, and each new Twitter account, our once routine habits and traffic patterns shift. This wave of change in the way we consume, transact and interact on the Web is dis-intermediating 'destination' sites of all kinds. Our once centralized content has been atomized.<BR /><BR /> And yet our fundamental problem persists. We're overwhelmed with input, yet still can't find the one thing we need. . . now. <BR /><BR /> Semantic technologies &#150; and the content interoperability and Linked Data connections they beget &#150; offer new hope. That is not to say the answer lies in building new search engines, and few would argue for another news aggregator. Rather, our point of inflection lies at the point of consumption. Our task is to simultaneously refine and enrich our digital experience of everything from content and community to commerce. <BR /><BR /> Thomas (&quot;Tom&quot;) Tague spent the past year meeting with developers and entrepreneurs that are tackling these challenges. In our opening keynote, he will share insights and impressions from OpenCalais' first year out the door, including areas of progress and areas that require more focus, inter-disciplinary collaboration and cooperation across the industry. <P>
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http://data.semanticuniverse.com/resource/eddie-choi http://www.w3.org/2001/vcard-rdf/3.0#title Principle Research Engineer
http://data.semanticuniverse.com/resource/eddie-choi http://www.w3.org/2001/vcard-rdf/3.0#org Saltlux Inc.
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http://data.semanticuniverse.com/resource/semtech-2009-1776 http://purl.org/dc/elements/1.1/title Ontology Data Mediation Efforts in Industry
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http://data.semanticuniverse.com/resource/semtech-2009-1776 http://purl.org/dc/elements/1.1/abstract This session presents some of the latest efforts of ontologically-based data mediation efforts in industry as well as efforts from within the Object Management Group (OMG).
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http://data.semanticuniverse.com/resource/semtech-2009-1776 http://purl.org/dc/elements/1.1/description An ontology-based mediation approach shortens subsequent knowledge engineering efforts and enables mappings to be auto generated or configured. Additionally, while the ontological definitions can be encoded in XML languages such as OWL, this approach can support both XML and non-XML (binary) transformation. This session details the ontology-based data mediation approach and some of the state-of-the-art practices being employed in semantic and traditional data mediation in industry today. Specific work within the OMG regarding ontology-based data mediation techniques will also be discussed. <P>
http://data.semanticuniverse.com/resource/semtech-2009-1776 http://www.w3.org/2000/01/rdf-schema#label Ontology Data Mediation Efforts in Industry
http://data.semanticuniverse.com/resource/semtech-2009-1776 http://purl.org/dc/elements/1.1/audience Technology - Introductory
http://data.semanticuniverse.com/resource/semtech-2009-1776 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/gary-sikora
http://data.semanticuniverse.com/resource/dean-allemang http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://xmlns.com/foaf/0.1/Person
http://data.semanticuniverse.com/resource/dean-allemang http://www.w3.org/2000/01/rdf-schema#label Dean Allemang
http://data.semanticuniverse.com/resource/dean-allemang http://xmlns.com/foaf/0.1/name Dean Allemang
http://data.semanticuniverse.com/resource/dean-allemang http://xmlns.com/foaf/0.1/depiction http://wmb.skyworld.com/uploads/images/bios/104.jpg^^http://www.w3.org/2001/XMLSchema#anyURI
http://data.semanticuniverse.com/resource/dean-allemang http://www.w3.org/2001/vcard-rdf/3.0#title Chief Scientist
http://data.semanticuniverse.com/resource/dean-allemang http://www.w3.org/2001/vcard-rdf/3.0#org TopQuadrant
http://data.semanticuniverse.com/resource/semtech-2009-1997 http://swrc.ontoware.org/ontology#keywords amara
http://data.semanticuniverse.com/resource/semtech-2009-1997 http://purl.org/dc/elements/1.1/description <h4>PART I | Akara - Spicy Bean Fritters and an XML Mashup Platform</h4> <p>Uche Ogbuji will present Akara.</p> <p>Akara is an open-source XML/Web mashup platform supporting rich XML and Semantic metadata processing. It includes "Web triggers", which build on REST architecture to support orchestration of Web events. This is a powerful system for integrating services and components across the Web in a declarative way, so that perhaps a Web request could access information from a service running on Amazon EC2 to analyze information gathered from social networks, run through a remote spam detector service. Akara is designed from ground up to support such rich interactions, using the latest conventions and standards of the Web 2.0 era. Learn about the cutting edge ideas and techniques behind Akara, and how you can use it to build your own Semantic technology applications.</p> </ul> <P> <hr width="10%" /> <P> <h4>PART II | Mediatr - a Tool for Calculating Mediatability</h4> <p>Karthik Gomadam will present Mediatr.</p> <p>We will introduce the audience to the concept of mediatability. While automatic data mediation has gotten a lot of attention, data mediation is still a hard manual task. In mediatability, we define a metric that will measure the level of human involvement. We will demonstrate Mediatr, our tool for calculating mediatability.</p> <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1997 http://purl.org/dc/elements/1.1/title Nifty Tools For Making the Move From Web 2.0 to Web 3.0
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http://data.semanticuniverse.com/resource/semtech-2009-1997 http://swrc.ontoware.org/ontology#keywords trigger
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http://data.semanticuniverse.com/resource/semtech-2009-1997 http://www.w3.org/2000/01/rdf-schema#label Nifty Tools For Making the Move From Web 2.0 to Web 3.0
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http://data.semanticuniverse.com/resource/semtech-2009-1997 http://swrc.ontoware.org/ontology#keywords programmable-web
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http://data.semanticuniverse.com/resource/semtech-2009-1744 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://data.semanticweb.org/ns/swc/ontology#PanelEvent
http://data.semanticuniverse.com/resource/semtech-2009-1744 http://swrc.ontoware.org/ontology#keywords large-scale-semantic-applications
http://data.semanticuniverse.com/resource/semtech-2009-1744 http://purl.org/dc/elements/1.1/title Semantics at the Core: Building Large-Scale Semantically-Aware Applications in the 21st Century
http://data.semanticuniverse.com/resource/semtech-2009-1744 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.w3.org/2002/12/cal/icaltzd/Vevent
http://data.semanticuniverse.com/resource/semtech-2009-1744 http://purl.org/dc/elements/1.1/description Over the last 15 years has seen the development of agile, semantics-based application generation frameworks extended to take advantage of state-of-the-art semantic thinking. The talk addresses two complimentary ontological models: the Resource-Event-Actor (REA) Model and the Actor-Message-Object(Subject) (AMO) Model. These semantic models leverage the classification of real world things (entities) to create semantic patterns that are in turn used to generate sophisticated large scale, semanitically-aware business applications. Finally, this talk projects this semantic modeling research and into the near future. <P>
http://data.semanticuniverse.com/resource/semtech-2009-1744 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/ken-orr
http://data.semanticuniverse.com/resource/semtech-2009-1744 http://purl.org/net/biblio#presentedAt http://data.semanticuniverse.com/resource/semtech-2009
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http://data.semanticuniverse.com/resource/semtech-2009-1744 http://www.w3.org/2000/01/rdf-schema#label Semantics at the Core: Building Large-Scale Semantically-Aware Applications in the 21st Century
http://data.semanticuniverse.com/resource/semtech-2009-1744 http://swrc.ontoware.org/ontology#keywords semantic-patterns
http://data.semanticuniverse.com/resource/semtech-2009-1744 http://swrc.ontoware.org/ontology#keywords business-ontologies
http://data.semanticuniverse.com/resource/semtech-2009-1744 http://www.w3.org/2002/12/cal/icaltzd/dtStart 2009-06-18T13:00:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
http://data.semanticuniverse.com/resource/semtech-2009-1744 http://swrc.ontoware.org/ontology#keywords semantic-based-application-generation
http://data.semanticuniverse.com/resource/semtech-2009-1744 http://purl.org/dc/elements/1.1/abstract While a good deal of interest in semantics-based computing has focused on the semantic web, Web 3.0, etc. other researchers have been working to rethink the development of large-scale applications (e.g., ERP, CRM, etc.) using semantic ontologies and patterns.
http://data.semanticuniverse.com/resource/semtech-2009-1744 http://data.semanticweb.org/ns/swc/ontology#hasLocation http://data.semanticuniverse.com/resource/crystal
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http://data.semanticuniverse.com/resource/google-inc http://xmlns.com/foaf/0.1/name Google, Inc.
http://data.semanticuniverse.com/resource/google-inc http://xmlns.com/foaf/0.1/member http://data.semanticuniverse.com/resource/othar-hansson
http://data.semanticuniverse.com/resource/google-inc http://www.w3.org/2000/01/rdf-schema#label Google, Inc.
http://data.semanticuniverse.com/resource/semtech-2009-1790 http://data.semanticweb.org/ns/swc/ontology#isPartOf http://data.semanticuniverse.com/resource/semtech-2009-semantic-software-development
http://data.semanticuniverse.com/resource/semtech-2009-1790 http://www.w3.org/2000/01/rdf-schema#label Modeling Objects in RDF
http://data.semanticuniverse.com/resource/semtech-2009-1790 http://purl.org/dc/elements/1.1/description Object-oriented design is the preferred paradigm for modelling complex software; however, most RDF APIs are tuple-oriented and lack some of the fundamental concepts in object-oriented programming. This talk introduces Sesame and how it can be used with RDF objects using object-oriented designs. <P>
http://data.semanticuniverse.com/resource/semtech-2009-1790 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/james-leigh
http://data.semanticuniverse.com/resource/semtech-2009-1790 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://data.semanticweb.org/ns/swc/ontology#SessionEvent
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http://data.semanticuniverse.com/resource/semtech-2009-1790 http://purl.org/dc/elements/1.1/audience Technology - Introductory
http://data.semanticuniverse.com/resource/semtech-2009-1790 http://purl.org/dc/elements/1.1/abstract This is an introductory session on building object-oriented applications with the Sesame RDF repository.
http://data.semanticuniverse.com/resource/semtech-2009-1790 http://swrc.ontoware.org/ontology#keywords openrdf-sesame-elmo-rdf-object-oriented-mapping-design-java-ruby-groovy-javascript
http://data.semanticuniverse.com/resource/semtech-2009-1790 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.w3.org/2002/12/cal/icaltzd/Vevent
http://data.semanticuniverse.com/resource/semtech-2009-1790 http://purl.org/dc/elements/1.1/title Modeling Objects in RDF
http://data.semanticuniverse.com/resource/semtech-2009-1965 http://data.semanticweb.org/ns/swc/ontology#isPartOf http://data.semanticuniverse.com/resource/semtech-2009-semantics-for-enterprise-data
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http://data.semanticuniverse.com/resource/semtech-2009-1965 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://data.semanticweb.org/ns/swc/ontology#TutorialEvent
http://data.semanticuniverse.com/resource/semtech-2009-1965 http://purl.org/dc/elements/1.1/description This talk will cover the methods, techniques and motivations for building an Enterprise Ontology. After completing this tutorial the participant will: <P> <ul><li>Be able to articulate the need for an Enterprise Ontology</li> <li>Understand the role of an Enterprise Ontology </li> <li>Have some new facilitation techniques for eliciting and reviewing ontological knowledge with users</li> <li>Be capable of designing a layered set of ontologies, from application ontology to domain to enterprise</li> <li>Have a grasp of the distinction between producer ontologies and consumer ontologies</li> <li>Know how and when to use an upper ontology as the basis for their design</li> <li>Understand strategies for testing their ontology.</li> <li>Realize several optional ways of generating architectural components from an Enterprise Ontology</li></ul> <P> This talk is based on Semantic Arts work with clients building and using Enterprise Ontologies. Participants should understand OWL before attending as we will not be teaching OWL, and we will be referring to OWL constructs throughout. <P>
http://data.semanticuniverse.com/resource/semtech-2009-1965 http://purl.org/dc/elements/1.1/audience Technology - Intermediate
http://data.semanticuniverse.com/resource/semtech-2009-1965 http://www.w3.org/2000/01/rdf-schema#label T13: Building an Enterprise Ontology
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http://data.semanticuniverse.com/resource/semtech-2009-1965 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/dave-mccomb
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http://data.semanticuniverse.com/resource/semtech-2009-1965 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/simon-robe
http://data.semanticuniverse.com/resource/semtech-2009-1965 http://purl.org/dc/elements/1.1/title T13: Building an Enterprise Ontology
http://data.semanticuniverse.com/resource/semtech-2009-1712 http://www.w3.org/2000/01/rdf-schema#label Making Sense of Information with Semantic Technologies
http://data.semanticuniverse.com/resource/semtech-2009-1712 http://www.w3.org/2002/12/cal/icaltzd/dtEnd 2009-06-18T12:00:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
http://data.semanticuniverse.com/resource/semtech-2009-1712 http://swrc.ontoware.org/ontology#keywords rdf
http://data.semanticuniverse.com/resource/semtech-2009-1712 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.w3.org/2002/12/cal/icaltzd/Vevent
http://data.semanticuniverse.com/resource/semtech-2009-1712 http://swrc.ontoware.org/ontology#keywords sensemaking
http://data.semanticuniverse.com/resource/semtech-2009-1712 http://purl.org/dc/elements/1.1/abstract Sharing our experience and lessons learned in building software tools based on semantic technologies for making sense of information in enterprise business processes.
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http://data.semanticuniverse.com/resource/semtech-2009-1712 http://swrc.ontoware.org/ontology#keywords owl
http://data.semanticuniverse.com/resource/semtech-2009-1712 http://purl.org/dc/elements/1.1/title Making Sense of Information with Semantic Technologies
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http://data.semanticuniverse.com/resource/semtech-2009-1712 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/cirrus-shakeri
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http://data.semanticuniverse.com/resource/semtech-2009-1712 http://purl.org/dc/elements/1.1/description We have built proof-of-concept software tools that assist knowledge workers in making sense of information within the context of some business processes. The OWL ontology language is used to implement domain-independent as well as domain-specific models for guiding the process of gathering and filtering relevant information. RDF is used to represent a complex data structure for organizing and arranging relevant information. A semantic query and inference engine is used in formulating hypotheses about possible ways that the information gathered may explain the situation at hand. Alternative hypotheses are compared and ranked via probabilistic reasoning. The combination of these capabilities result in assisting knowledge workers in making sense of large volumes of information, connecting the dots, explaining events, and making informed decisions. <P>
http://data.semanticuniverse.com/resource/semtech-2009-1712 http://purl.org/dc/elements/1.1/audience Technology - Intermediate
http://data.semanticuniverse.com/resource/eric-neumann http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://xmlns.com/foaf/0.1/Person
http://data.semanticuniverse.com/resource/eric-neumann http://www.w3.org/2000/01/rdf-schema#label Eric Neumann
http://data.semanticuniverse.com/resource/eric-neumann http://xmlns.com/foaf/0.1/name Eric Neumann
http://data.semanticuniverse.com/resource/eric-neumann http://xmlns.com/foaf/0.1/depiction http://wmb.skyworld.com/uploads/images/bios/1733.jpg^^http://www.w3.org/2001/XMLSchema#anyURI
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http://data.semanticuniverse.com/resource/eric-neumann http://www.w3.org/2001/vcard-rdf/3.0#title Executive Director
http://data.semanticuniverse.com/resource/eric-neumann http://www.w3.org/2001/vcard-rdf/3.0#org Clinical Semantics Group
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http://data.semanticuniverse.com/resource/semtech-2009-2119 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://data.semanticweb.org/ns/swc/ontology#ConferenceEvent
http://data.semanticuniverse.com/resource/semtech-2009-2119 http://purl.org/dc/elements/1.1/description Run by the Palo Alto Web Semantic Meetup Group (PAWS), the goal of the Semantic Code Camp is to facilitate innovation by bring together semantic programmers and thinkers from different industries and specialties. The Camp will be in a semi-structured format. After topics have been presented, it is up to the crowd to decide where to go. We encourage anyone who is an open source software developer or provider of APIs to attend the Code Camp. This special pre-conference event is open to all SemTech attendees. <P>
http://data.semanticuniverse.com/resource/semtech-2009-2119 http://purl.org/dc/elements/1.1/audience Technology - Intermediate
http://data.semanticuniverse.com/resource/semtech-2009-2119 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/shamod-lacoul
http://data.semanticuniverse.com/resource/semtech-2009-2119 http://purl.org/dc/elements/1.1/title Semantic Code Camp
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http://data.semanticuniverse.com/resource/semtech-2009-2119 http://www.w3.org/2000/01/rdf-schema#label Semantic Code Camp
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http://data.semanticuniverse.com/resource/semtech-2009-2119 http://purl.org/dc/elements/1.1/abstract Run by the Palo Alto Web Semantic Meetup Group (PAWS), the goal of the Semantic Code Camp is to facilitate innovation by bring together semantic programmers and thinkers from different industries and specialties.
http://data.semanticuniverse.com/resource/semtech-2009-2119 http://www.w3.org/2002/12/cal/icaltzd/dtEnd 2009-06-14T16:00:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
http://data.semanticuniverse.com/resource/semtech-2009-2119 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/peter-berger
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http://data.semanticuniverse.com/resource/vassil-momtchev http://xmlns.com/foaf/0.1/depiction http://wmb.skyworld.com/uploads/images/bios/2177.jpg^^http://www.w3.org/2001/XMLSchema#anyURI
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http://data.semanticuniverse.com/resource/semtech-2009-1481 http://purl.org/dc/elements/1.1/description Given the increasing challenges of effective intellectual property or intellectual capital development, organizations need new ways to develop, manage and optimize their intellectual capital to drive business results. Just as organizations have implemented systems to manage critical business functions such as manufacturing, supply chains, human resource and customer relationships, they need a system to strategically manage and optimize their intellectual property. In particular, organizations need a semantic based intellectual property system to: <ul><li>encourage employee collaboration and idea sharing</li> <li>align employee innovation goals with overall organizational goals</li> <li>measure, manage and reward employee innovation against patent goals</li> <li>take inventory of intellectual capital generated by employee</li> <li>provide real-time view of status of unfiled and filed patent applications</li> <li>identify IP gaps and provide direction for current and future IP requirements</li></ul> <P>
http://data.semanticuniverse.com/resource/semtech-2009-1481 http://www.w3.org/2002/12/cal/icaltzd/dtEnd 2009-06-17T17:00:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
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http://data.semanticuniverse.com/resource/semtech-2009-1481 http://swrc.ontoware.org/ontology#keywords patent
http://data.semanticuniverse.com/resource/semtech-2009-1481 http://purl.org/dc/elements/1.1/title Semantic Applications of Intellectual Property Management Systems
http://data.semanticuniverse.com/resource/semtech-2009-1481 http://data.semanticweb.org/ns/swc/ontology#hasLocation http://data.semanticuniverse.com/resource/imperial-ballroom
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http://data.semanticuniverse.com/resource/semtech-2009-1481 http://purl.org/dc/elements/1.1/abstract Semantic Technological Innovations Enable Strategic Intellectual Property Development Systems. The ubiquitous nature of the Internet, widespread broadband adoption, and improved network reliability and security has enabled the deployment and delivery of semantic applications for IP development.
http://data.semanticuniverse.com/resource/semtech-2009-1481 http://www.w3.org/2000/01/rdf-schema#label Semantic Applications of Intellectual Property Management Systems
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http://data.semanticuniverse.com/resource/semtech-2009-1481 http://swrc.ontoware.org/ontology#keywords entrepreneurship
http://data.semanticuniverse.com/resource/semtech-2009-1481 http://swrc.ontoware.org/ontology#keywords ip
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http://data.semanticuniverse.com/resource/paul-gearon http://www.w3.org/2000/01/rdf-schema#label Paul Gearon
http://data.semanticuniverse.com/resource/paul-gearon http://xmlns.com/foaf/0.1/name Paul Gearon
http://data.semanticuniverse.com/resource/paul-gearon http://xmlns.com/foaf/0.1/depiction http://wmb.skyworld.com/uploads/images/bios/2003.jpg^^http://www.w3.org/2001/XMLSchema#anyURI
http://data.semanticuniverse.com/resource/paul-gearon http://xmlns.com/foaf/0.1/onlineAccount http://twitter.com/quoll/
http://data.semanticuniverse.com/resource/paul-gearon http://www.w3.org/2001/vcard-rdf/3.0#title Systems Architect and Advanced Software Specialist
http://data.semanticuniverse.com/resource/paul-gearon http://www.w3.org/2001/vcard-rdf/3.0#org Fedora Commons, Inc
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http://data.semanticuniverse.com/resource/semtech-2009-2133 http://purl.org/dc/elements/1.1/title STI International Projects - Part 2
http://data.semanticuniverse.com/resource/semtech-2009-2133 http://purl.org/dc/elements/1.1/description In this session, Part 2 of 2, STI International will present three of their projects: SOA4All, SUPER, and Semsphere. <P> <h4>SOA4All - presented by Jesús Contreras, iSOCO</h4> <P> <p>The future Service Web will be a medium for offering functionality (services) in addition to information over the Internet. In this talk, we present the SOA4All European collaborative project which will help to realize this open services ecosystem where millions of parties are exposing and consuming services via advanced Web technology. In this project, we are developing a comprehensive infrastructure that integrates four complementary technical advances into an open, independent service platform: SOA and service-orientation principles to support the development of complex services based on distributed and reusable components; Web principles and technology as the underlying infrastructure for the integration of services at a world wide scale; Web 2.0 as a means to structure human-machine cooperation in an efficient, user-adapted and cost effective manner; and, most crucially, semantic technology as a means to abstract from syntax to semantics as required for easier service discovery and composition.</p> <P> <hr width="10%" /> <P> <h4>SUPER - presented by Monika Kaczmarek, Poznan University of Economics </h4> <P> <p>In general, Business Process Management (BPM) follows a four-phase life cycle: modeling, implementation, execution, and analysis of business processes. A central problem for supporting all phases is the integration of IT components within and across enterprises. The current trend for solving this problem is application of the SOA paradigm: IT functionality is virtualized in terms of loosely coupled services with stable interfaces. However, even though the combination of BPM and SOA is a very flexible approach, there are still several problems to be overcome.<br /><br /> The presentation explains how the combination of Business Process Management (BPM) and Semantic Web mechanisms (including Semantic Web Services) can eliminate the deficiencies that current BPM technology exhibits.</p> <P> <hr width="10%" /> <P> <h4>Semsphere - presented by Sinuhe Arroyo, Semsphere</h4> <P> <p>The Semsphere program is based upon the input from experts in semantic technologies from around the world; this collaborative strategy conclusively offers a globally applicable training program geared towards IT professionals. This presentation will briefly present the various levels of specialization and certification included in the Semsphere offer, as well as introduce the Education Alliance Partner Program whereby organizations are able to join Semsphere in providing a comprehensive training program for all industrial domains of semantic technologies.</p> <P>
http://data.semanticuniverse.com/resource/semtech-2009-2133 http://www.w3.org/2000/01/rdf-schema#label STI International Projects - Part 2
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http://data.semanticuniverse.com/resource/semtech-2009-2133 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/alexander-wahler
http://data.semanticuniverse.com/resource/semtech-2009-2133 http://www.w3.org/2002/12/cal/icaltzd/dtEnd 2009-06-16T12:45:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
http://data.semanticuniverse.com/resource/semtech-2009-2133 http://purl.org/dc/elements/1.1/abstract In this session, Part 2 of 2, STI International will present three of their projects: SOA4All, SUPER, and Semsphere.
http://data.semanticuniverse.com/resource/semtech-2009-2133 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/monika-kaczmarek
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http://data.semanticuniverse.com/resource/semtech-2009-2133 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/jesus-contreras
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http://data.semanticuniverse.com/resource/semanticcommunitynet http://xmlns.com/foaf/0.1/name SemanticCommunity.net
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http://data.semanticuniverse.com/resource/semanticcommunitynet http://www.w3.org/2000/01/rdf-schema#label SemanticCommunity.net
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http://data.semanticuniverse.com/resource/semtech-2009-1670 http://swrc.ontoware.org/ontology#keywords relational-databases
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http://data.semanticuniverse.com/resource/semtech-2009-1670 http://purl.org/dc/elements/1.1/abstract This tutorial will give an introduction in how to use structured data on the Web, turn it into RDF, and build an application that consumes it in a user-friendly way.
http://data.semanticuniverse.com/resource/semtech-2009-1670 http://swrc.ontoware.org/ontology#keywords linked-data
http://data.semanticuniverse.com/resource/semtech-2009-1670 http://swrc.ontoware.org/ontology#keywords rdfa
http://data.semanticuniverse.com/resource/semtech-2009-1670 http://swrc.ontoware.org/ontology#keywords reasoning
http://data.semanticuniverse.com/resource/semtech-2009-1670 http://purl.org/dc/elements/1.1/title T2: Hello Open World - The Web of Data for the Pragmatic Developer
http://data.semanticuniverse.com/resource/semtech-2009-1670 http://swrc.ontoware.org/ontology#keywords data-integration
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http://data.semanticuniverse.com/resource/semtech-2009-1670 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/alexandre-passant
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http://data.semanticuniverse.com/resource/semtech-2009-1670 http://www.w3.org/2002/12/cal/icaltzd/dtEnd 2009-06-15T12:00:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
http://data.semanticuniverse.com/resource/semtech-2009-1670 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/giovanni-tummarello
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http://data.semanticuniverse.com/resource/semtech-2009-1670 http://purl.org/dc/elements/1.1/description The Social Web and the Semantic Web (a.k.a. the Web of Data) as well as initiatives like the Linking Open Data community project yield new ways to publish, interlink and re-use information from different distributed data sources on the Web. Consequently, the Web of Data is a reality that companies must take into account. Still, many researchers, developers, etc. have not yet learned about real-world tools and methods to implement applications on the Web of Data for a certain domain. We will give a step-by-step introduction, showing how to: <P> <ul><li>turn structured data (relational data, XML, feeds, JSON, etc.) into RDF data;</li> <li>integrate and interlink data from different sources on the Web;</li> <li>find, (re)use and extend vocabularies such as FOAF, SIOC, Dublin Core, etc.;</li> <li>build an application based on those technologies on a simple PHP/MySQL environment;</li> <li>use more linked data sources to extend the capabilities of such an application.</li></ul> <P>
http://data.semanticuniverse.com/resource/semtech-2009-1670 http://www.w3.org/2000/01/rdf-schema#label T2: Hello Open World - The Web of Data for the Pragmatic Developer
http://data.semanticuniverse.com/resource/semtech-2009-1670 http://swrc.ontoware.org/ontology#keywords semantic-web
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http://data.semanticuniverse.com/resource/semtech-2009-1670 http://swrc.ontoware.org/ontology#keywords social-web
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http://data.semanticuniverse.com/resource/the-analysis-group http://xmlns.com/foaf/0.1/name The Analysis Group
http://data.semanticuniverse.com/resource/the-analysis-group http://xmlns.com/foaf/0.1/member http://data.semanticuniverse.com/resource/beth-huffer
http://data.semanticuniverse.com/resource/the-analysis-group http://www.w3.org/2000/01/rdf-schema#label The Analysis Group
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http://data.semanticuniverse.com/resource/semtech-2009-2077 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/mark-birbeck
http://data.semanticuniverse.com/resource/semtech-2009-2077 http://www.w3.org/2000/01/rdf-schema#label RDFa: The Semantic Web's Missing Link
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http://data.semanticuniverse.com/resource/semtech-2009-2077 http://purl.org/net/biblio#presentedAt http://data.semanticuniverse.com/resource/semtech-2009
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http://data.semanticuniverse.com/resource/semtech-2009-2077 http://purl.org/dc/elements/1.1/audience Non-Technical
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http://data.semanticuniverse.com/resource/semtech-2009-2077 http://purl.org/dc/elements/1.1/description RDFa combines the power of RDF with the ease of publishing of HTML, making it the missing link of the semantic web. Now anyone who is able to publish to the web -- from bloggers, to corporates to governments -- can easily publish to the semantic web. <P> This session will introduce the key ideas of RDFa and its syntax, by way of a case-study of a project from a UK government department. We'll also survey the state of support in tools and software. <P>
http://data.semanticuniverse.com/resource/semtech-2009-2077 http://purl.org/dc/elements/1.1/title RDFa: The Semantic Web's Missing Link
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http://data.semanticuniverse.com/resource/semtech-2009-2077 http://purl.org/dc/elements/1.1/abstract RDFa combines the power of RDF with the ease of publishing of HTML, making it the missing link of the semantic web. Now anyone who is able to publish to the web -- from bloggers, to corporates to governments -- can easily publish to the semantic web.
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http://data.semanticuniverse.com/resource/semtech-2009-2045 http://purl.org/dc/elements/1.1/description This discussion features representatives from major media companies who are seriously investigating or presently using semantic technologies in their sites. The conversation will focus on the business and operational benefits of using semantic technologies in publishing and media sites. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-2045 http://purl.org/dc/elements/1.1/title Publishers Panel
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http://data.semanticuniverse.com/resource/semtech-2009-1978 http://purl.org/dc/elements/1.1/abstract Jena developers gather to talk about their experiences using the framework and discuss common challenges, tips and questions.
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http://data.semanticuniverse.com/resource/semtech-2009-1978 http://purl.org/dc/elements/1.1/description Jena developers gather to talk about their experiences using the framework and discuss common challenges, tips and questions. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1725 http://purl.org/dc/elements/1.1/title Agent Based Semantic Search
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http://data.semanticuniverse.com/resource/semtech-2009-1725 http://purl.org/dc/elements/1.1/abstract The main idea of the approach is that a software agent is assigned to each word of a section of the text under consideration. Agents have access to a comprehensive repository of knowledge (ontology) about possible meanings of words in the text.
http://data.semanticuniverse.com/resource/semtech-2009-1725 http://purl.org/dc/elements/1.1/audience Technology - Advanced
http://data.semanticuniverse.com/resource/semtech-2009-1725 http://purl.org/dc/elements/1.1/description And, agents engage in negotiation with each other until a consensus is reached on meaning of each word and each sentence. In some cases, the method may discover several contradictory meanings of a sentence. The conflict can then be resolved by an agent-triggered consultation with the user and consequent updating of the repository of knowledge. <P> In the preferred embodiment, to simplify the process of extracting meanings, the method pre-forms an initial morphological and syntactic analysis of the text, followed by semantic analysis. After that, a pragmatics program implements user-defined applications using the semantics descriptor, which has been generated. <P> Decision-making rules are specified in ontology, which incorporates general knowledge on text understanding, language oriented rules and specific knowledge on the problem domain. <P> Every word in the text under consideration is given the opportunity to autonomously and practically search for its own meaning using knowledge available in ontology. <P> Tentative decisions are reached through a process of consultation and negotiation among all words. <P> The final decision on the meaning of every word is reached through a consensus among all words. <P> Semantic descriptors are produced for individual sentences and for the whole text. <P> The extraction of meanings follows an autonomous trial and error pattern (self-organisation). <P> The process of meaning extraction can be regulated by modifying ontology. <P> The approach has been successfully applied to a number of applications, including, semantic search for abstracts of interest to researchers in the field of genetics. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1992 http://purl.org/dc/elements/1.1/abstract Increasingly powerful intelligent agents are beginning to act as proxies for human decision-making, and finding opportunities for discovery, connection, recommendation and marketing.
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http://data.semanticuniverse.com/resource/semtech-2009-1992 http://purl.org/dc/elements/1.1/description This panel introduces different approaches to recommendation and matching, and identifies market opportunities for these services. Topics include: <P> <ul><li>Concepts of self-contained semantic entities, their ontologies and the methods used to globally geo-locate, match and recommend them. These entities can represent any possible type of object on the web such as a piece of information, a social network profile, an enterprise employee or a product or web service.</li> <P> <li>Semantic middleware to integrate information from heterogenious sources semantically and create object- and concept-Grafs automatically. This approach requires no specific data-format like RDF, no ontology or other aditional source necessary. The middleware uses an efficiant, fast algorithm instead. </li> <P> <li>What are the market opportunities in terms of the emerging selling grid &#45; the confluence of traditional selling and buying strategies with social-semantic networking technologies and advanced business process execution. How will these new types of services cause disruption to traditional ventures?</li></ul> <P>
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http://data.semanticuniverse.com/resource/semtech-2009-2146 http://purl.org/dc/elements/1.1/title Semantic Framework for Model Driven Process Deployment and eXtreme Traceability
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http://data.semanticuniverse.com/resource/semtech-2009-2146 http://purl.org/dc/elements/1.1/description A semantic framework that is based upon ontologies for software engineering enables construction of development processes and methodologies. By integrating software tools on this framework, organizations can achieve extreme traceability. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-2146 http://purl.org/dc/elements/1.1/abstract A semantic framework that is based upon ontologies for software engineering enables construction of development processes and methodologies. By integrating software tools on this framework, organizations can achieve extreme traceability.
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http://data.semanticuniverse.com/resource/semtech-2009-1637 http://purl.org/dc/elements/1.1/abstract This case study will focus on the efforts of Social Actions to build-out the "philanthropic web", by aggregating and adding intelligent meta data to the actionable opportunities from 30+ action sources, including Kiva, DonorsChoose.org, and Volunteer Match.
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http://data.semanticuniverse.com/resource/semtech-2009-1637 http://www.w3.org/2000/01/rdf-schema#label Social Actions: Weaving the Open Philanthropic Web
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http://data.semanticuniverse.com/resource/semtech-2009-1637 http://purl.org/dc/elements/1.1/description This case study will include an in depth look at the XML schema that Social Actions has developed for publishing and sharing actionable micro-philanthropic opportunities. The format is called Open Actions. The idea is that platform partners of Social Actions will feed their latest actions to Social Actions using the Open Actions format. Open Actions consists of the basic elements found in RSS and Atom, plus 15 data points that relate specifically to philanthropic activities. <P>
http://data.semanticuniverse.com/resource/semtech-2009-1637 http://purl.org/dc/elements/1.1/title Social Actions: Weaving the Open Philanthropic Web
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http://data.semanticuniverse.com/resource/semtech-2009-1651 http://purl.org/dc/elements/1.1/title How is the Semantic Web Being Used? An Analysis of the Billion Triples Challenge Corpus
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http://data.semanticuniverse.com/resource/semtech-2009-1651 http://purl.org/dc/elements/1.1/abstract This talk will analyze use of Semantic Web constructs and vocabularies in a large, representative, real-world data set.
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http://data.semanticuniverse.com/resource/semtech-2009-1651 http://purl.org/dc/elements/1.1/description The 2008 Semantic Web Challenge introduced the Billion Triples Track, which challenged submitters to do something interesting with a billion specified RDF statements. The 12 data sets comprising the corpus provide a representative, if not scientific, sample of Semantic Web usage. We'll cover aggregate statistics, use of RDF and OWL language features, use of specific vocabularies, findings from each of the data sets, and the challenge winners. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1840 http://purl.org/dc/elements/1.1/description This case study will show how a cutting edge pharmaceutical research company used semantic technologies to rapidly build and deploy enterprise-class applications that helped: <P> <ul><li>Maximize the time researchers spend actually doing research rather than simply looking for and preparing data</li> <li>Automate business processes and facilitate inter-departmental communications.</li> <li>Facilitate the cutting edge approach of combining chemical entity discovery with new biological entity discovery</li></ul> <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1840 http://www.w3.org/2000/01/rdf-schema#label A Pragmatic Approach to Building Enterprise-class Semantic Applications for Knowledge Sharing and Process Orchestration
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http://data.semanticuniverse.com/resource/semtech-2009-1840 http://purl.org/dc/elements/1.1/abstract A case study on how a cutting edge pharmaceutical research company used a pragmatic approach to semantic technologies to facilitate data integration and process orchestration.
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http://data.semanticuniverse.com/resource/semtech-2009-1517 http://purl.org/dc/elements/1.1/description Semantic models allow the creation of very powerful persistent data stores. However, being able to create such semantic repositories is not enough, as the information contained within them must be easily accessible to humans, and with the development of the world wide web, "accessible to humans" has become synonymous with "accessible to a web browser." This presentation discusses SPARQL Server Pages, a website development and deployment platform developed by Boeing Phantom Works to allow simple and powerful integration of RDF/OWL models with dynamic web pages, using only special html elements embedded in html pages, along with corresponding SPARQL queries. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1517 http://purl.org/dc/elements/1.1/abstract Discuss SPARQL Server Pages technology that allows easy integration of dynamic web pages with existing OWL models for both display of information and model updates.
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http://data.semanticuniverse.com/resource/semtech-2009-2072 http://purl.org/dc/elements/1.1/title Data Portability and The Semantic Web
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http://data.semanticuniverse.com/resource/semtech-2009-2072 http://purl.org/dc/elements/1.1/abstract This DataPortability Session will be for both SemTech attendees as well as the local DP community.
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http://data.semanticuniverse.com/resource/semtech-2009-2072 http://purl.org/dc/elements/1.1/description This DataPortability Session will be for both SemTech attendees as well as the local DP community. A session specifically about data portability and the Semantic Web, sponsored by the DataPortability Project covering: <P> <ul> <li>An Overview of the state of data portability</li> <li>How do Semantic Technologies tie into data portability?</li> <li>Overview from the recent W3C Future of Social Networking W3C Workshop</li> <li>Issues and Opportunities [what happens to our data when a site closes down, what if we get evicted? what else can go wrong and right around user data?]</li> <li>Chance to network with others who are interested in sharing their work around data portability</li> </ul> <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1720 http://purl.org/dc/elements/1.1/title High Precision Entity Extraction: A U.S. State Department Case Study
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http://data.semanticuniverse.com/resource/semtech-2009-1720 http://swrc.ontoware.org/ontology#keywords history
http://data.semanticuniverse.com/resource/semtech-2009-1720 http://purl.org/dc/elements/1.1/description The U.S. State Department's Office of the Historian has embarked on an ambitious effort to migrate its diplomatic history document archive from paper to an enriched electronic media for online consumption. We have extremely high standards for semantic precision and accuracy, due to Congressional mandates, which makes this unique resource useful to a broad audience, which includes scholars, government officials, and the general public. Furthermore, the new format allows us to repurpose our content and integrate it with "mashup" applications such as timelines and geographical map views. We will review our requirements and decision-making, and will show concrete examples of how the precise identifiers for people, locations, and events allow us to enrich the display of our documents online. This case study will discuss some of the tradeoffs others may face when advanced technology decisions have both risks and rewards for the digital historian. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1720 http://www.w3.org/2000/01/rdf-schema#label High Precision Entity Extraction: A U.S. State Department Case Study
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http://data.semanticuniverse.com/resource/semtech-2009-2127 http://purl.org/dc/elements/1.1/abstract AllegroGraph 4.0 provides full transactionality, full recoverability, concurrent reads, and near concurrent writes to augment the unique capabilities of GeoTemporal Reasoning and Social Network Analytics previously available. Querying and dynamic reasoning can be done during transactions at all times, making for real-time performance.
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http://data.semanticuniverse.com/resource/semtech-2009-2127 http://purl.org/dc/elements/1.1/title AllegroGraph 4.0 - Industry's First Real Time RDF Store
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http://data.semanticuniverse.com/resource/semtech-2009-2127 http://purl.org/dc/elements/1.1/description The typical usage pattern for triple-stores dealing with large numbers of triples is (1) to 'bulk load' an initial set of triples (2) build indices, (3) materialize inferences for types and then (4) finally allow for queries involving reasoning. Adding new triples or changing the ontology is typically disastrous because of long waits to re-materialize the inferences. In its newest release, AllegroGraph 4.0 totally breaks with this pattern. Multiple clients can concurrently add data in a transaction. A forward writing transaction log and a check-pointing mechanism provide complete recoverability. All triples are always completely indexed, enabling SPARQL queries, Prolog queries, and reasoning to happen at full speed while other processes are adding data. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-2127 http://www.w3.org/2000/01/rdf-schema#label AllegroGraph 4.0 - Industry's First Real Time RDF Store
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http://data.semanticuniverse.com/resource/semtech-2009-1664 http://purl.org/dc/elements/1.1/abstract Constructing an Enterprise-wide Ontology can be both exciting and challenging. We present difficulties that are likely to be faced and offer best practices and lessons learned from our own experiences.
http://data.semanticuniverse.com/resource/semtech-2009-1664 http://purl.org/dc/elements/1.1/description An Enterprise-wide ontology attempts to capture the differing meaning, terminology, or connotation of concepts that can be found amongst the many domains. Our discussion will focus on the steps involved in creating such an encompassing ontology and the difficulties that are likely to be faced. We will offer best practices and lessons learned with concrete examples. We bring together experiences from three different backgrounds &#45; an information scientist, computer scientist, and enterprise information management architect. We will cover: <ul><li>Political: finding the right people for the right job, funding, support</li> <li>Topical: typical business processes, governance, metadata, information modeling, roles and responsibilities, linking structured and unstructured content, universal data model patterns</li> <li>Technical: tool-related issues, annotations, constraints on properties, versioning, objects versus individuals, communicating a new style of thought to non-ontologists</li></ul> <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1664 http://www.w3.org/2000/01/rdf-schema#label Overcoming Challenges in Creating an Enterprise-wide Ontology
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http://data.semanticuniverse.com/resource/semtech-2009-1664 http://purl.org/dc/elements/1.1/title Overcoming Challenges in Creating an Enterprise-wide Ontology
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http://data.semanticuniverse.com/resource/semtech-2009-1839 http://purl.org/dc/elements/1.1/description Very often the information present in a dataset is at a different level of granularity and abstraction than the query terms. Query processing in Semantic Web is often quite syntactic in nature, involving exact match with the terms, just as in SQL query processing. We present some ways to expand SPARQL queries to incorporate spatially and temporally related information in datasets. <P> In an analysis we conducted on a number of datasets and queries, we identified commonly occurring mismatches across several different domains. We analyzed knowledge base of Sensors (Mesowest), US Census, Senate committees and voting data (GovTrack) and Geographical datasets (GeoNames). Some of the frequently occurring mismatches involve part-whole, spatial, and temporal information. This talk will present our analysis as well as a framework to handle these commonly occurring mismatches. We will also present a demonstration involving a real-world sensor system that continuously collects spatial, temporal information and complex observations. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1839 http://purl.org/dc/elements/1.1/title Extending SPARQL to Support Spatially and Temporally Related Information
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http://data.semanticuniverse.com/resource/semtech-2009-1839 http://purl.org/dc/elements/1.1/abstract Extending SPARQL to Support Spatially and Temporally Related Information to include information hidden at different level of granularity and abstraction.
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http://data.semanticuniverse.com/resource/semtech-2009-2141 http://www.w3.org/2000/01/rdf-schema#label Wolfram|Alpha - An Interview
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http://data.semanticuniverse.com/resource/semtech-2009-2141 http://purl.org/dc/elements/1.1/description Russell Foltz-Smith, Business Development for Wolfram|Alpha sits down with Nova Spivack of Twine.com to discuss the recent launch; what Wolfram|Alpha is (and is not) and where the much talked about project is heading from here. How is Wolfram pursuing distribution, licensing deals, etc.? What will their API look like? <P> Join us to hear the latest news from this exciting new project! <P>
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http://data.semanticuniverse.com/resource/full-capture-solutions http://xmlns.com/foaf/0.1/member http://data.semanticuniverse.com/resource/william-nadal
http://data.semanticuniverse.com/resource/full-capture-solutions http://www.w3.org/2000/01/rdf-schema#label Full Capture Solutions
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http://data.semanticuniverse.com/resource/rpi-and-mcguinness-associates http://xmlns.com/foaf/0.1/name RPI and McGuinness Associates
http://data.semanticuniverse.com/resource/rpi-and-mcguinness-associates http://xmlns.com/foaf/0.1/member http://data.semanticuniverse.com/resource/deborah-l-mcguinness
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http://data.semanticuniverse.com/resource/semtech-2009-1853 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.w3.org/2002/12/cal/icaltzd/Vevent
http://data.semanticuniverse.com/resource/semtech-2009-1853 http://swrc.ontoware.org/ontology#keywords knowledge-representation
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http://data.semanticuniverse.com/resource/semtech-2009-1853 http://www.w3.org/2000/01/rdf-schema#label SILK: Semantic Rules Take the Next Big Step in Power
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http://data.semanticuniverse.com/resource/semtech-2009-1853 http://purl.org/dc/elements/1.1/title SILK: Semantic Rules Take the Next Big Step in Power
http://data.semanticuniverse.com/resource/semtech-2009-1853 http://swrc.ontoware.org/ontology#keywords semantic-mediawiki
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http://data.semanticuniverse.com/resource/semtech-2009-1853 http://swrc.ontoware.org/ontology#keywords business-use-cases
http://data.semanticuniverse.com/resource/semtech-2009-1853 http://swrc.ontoware.org/ontology#keywords ruleml
http://data.semanticuniverse.com/resource/semtech-2009-1853 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/benjamin-n-grosof
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http://data.semanticuniverse.com/resource/semtech-2009-1853 http://purl.org/dc/elements/1.1/description The newest part of Vulcan Inc.'s Project Halo, SILK is a new, highly ambitious effort that is redefining the knowledge representation (KR) playing field for business rules and rule-based process management. It aims to provide key infrastructure for widely-authored VLKBs (Very Large Knowledge Bases) for business and science that answer questions, proactively supply information, and reason powerfully. SILK's KR is *hyper* logic programs, which adds: <ul><li>prioritized defaults and robust conflict handling;</li> <li>higher-order and flexible meta-reasoning;</li> <li>tight and robust integration of full classical logic (including OWL, Common Logic, and SBVR), in weakened form; and</li> <li>actions and events, cf. production rules and process models</li></ul> <P> We survey use cases for SILK in business and science, including in Semantic MediaWiki. "SILK" stands for "Semantic Inferencing on Large Knowledge". <P>
http://data.semanticuniverse.com/resource/semtech-2009-1853 http://swrc.ontoware.org/ontology#keywords logic-programs
http://data.semanticuniverse.com/resource/semtech-2009-1853 http://swrc.ontoware.org/ontology#keywords ontologies
http://data.semanticuniverse.com/resource/semtech-2009-1853 http://swrc.ontoware.org/ontology#keywords foundational-topics
http://data.semanticuniverse.com/resource/semtech-2009-1853 http://swrc.ontoware.org/ontology#keywords rif
http://data.semanticuniverse.com/resource/semtech-2009-1853 http://purl.org/dc/elements/1.1/abstract We overview the technical approach and business motivations of the SILK system for semantic rules and ontologies, that radically extends the knowledge representation (KR) power of W3C Rule Interchange Format (RIF) and the coherence basis of the Semantic Web overall.
http://data.semanticuniverse.com/resource/semtech-2009-1853 http://swrc.ontoware.org/ontology#keywords semantic-integration
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http://data.semanticuniverse.com/resource/marc-c-hadfield http://www.w3.org/2000/01/rdf-schema#label Marc C Hadfield
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http://data.semanticuniverse.com/resource/marc-c-hadfield http://www.w3.org/2001/vcard-rdf/3.0#title CTO
http://data.semanticuniverse.com/resource/marc-c-hadfield http://www.w3.org/2001/vcard-rdf/3.0#org Alitora Systems
http://data.semanticuniverse.com/resource/radar-networks-(twinecom) http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/net/biblio#Organization
http://data.semanticuniverse.com/resource/radar-networks-(twinecom) http://xmlns.com/foaf/0.1/name Radar Networks (Twine.com)
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http://data.semanticuniverse.com/resource/semtech-2009-1821 http://data.semanticweb.org/ns/swc/ontology#hasLocation http://data.semanticuniverse.com/resource/imperial-ballroom
http://data.semanticuniverse.com/resource/semtech-2009-1821 http://swrc.ontoware.org/ontology#keywords semantic-identity-management
http://data.semanticuniverse.com/resource/semtech-2009-1821 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.w3.org/2002/12/cal/icaltzd/Vevent
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http://data.semanticuniverse.com/resource/semtech-2009-1821 http://data.semanticweb.org/ns/swc/ontology#isPartOf http://data.semanticuniverse.com/resource/semtech-2009-semantic-software-development
http://data.semanticuniverse.com/resource/semtech-2009-1821 http://purl.org/dc/elements/1.1/audience Business
http://data.semanticuniverse.com/resource/semtech-2009-1821 http://swrc.ontoware.org/ontology#keywords web-2.0-authentication
http://data.semanticuniverse.com/resource/semtech-2009-1821 http://www.w3.org/2000/01/rdf-schema#label SeDiCi: SEcure DIgital CredentIals
http://data.semanticuniverse.com/resource/semtech-2009-1821 http://purl.org/dc/elements/1.1/audience Non-Technical
http://data.semanticuniverse.com/resource/semtech-2009-1821 http://purl.org/dc/elements/1.1/abstract SeDiCi is a new secure online unique authentication service. It was developed with semantic technologies in mind. It uses FOAF, XFN to provide social aspects of users' collaboration and interactions.
http://data.semanticuniverse.com/resource/semtech-2009-1821 http://purl.org/dc/elements/1.1/title SeDiCi: SEcure DIgital CredentIals
http://data.semanticuniverse.com/resource/semtech-2009-1821 http://swrc.ontoware.org/ontology#keywords social-networks
http://data.semanticuniverse.com/resource/semtech-2009-1821 http://www.w3.org/2002/12/cal/icaltzd/dtEnd 2009-06-17T17:00:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
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http://data.semanticuniverse.com/resource/semtech-2009-1821 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/slawomir-grzonkowski
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http://data.semanticuniverse.com/resource/semtech-2009-1821 http://purl.org/dc/elements/1.1/description SeDiCi is a new online unique authentication service. This technology allows authenticating users in such a way that a password never leaves the user's browser and the verifier is unable to impersonate the user. For commercial software, including banking and on-line shopping, credentials are not stored on the servers in their plain text form and asymmetric cryptography communication protocols are used, for instance, HTTPS. However, the credentials are given to the servers in a readable form during the authentication procedure. It gives servers the unlimited control over the user identity. This is a serious privacy problem. <P>
http://data.semanticuniverse.com/resource/semtech-2009-business-and-marketplace http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://data.semanticweb.org/ns/swc/ontology#TrackEvent
http://data.semanticuniverse.com/resource/semtech-2009-business-and-marketplace http://www.w3.org/2000/01/rdf-schema#label Business and Marketplace
http://data.semanticuniverse.com/resource/semtech-2009-2053 http://data.semanticweb.org/ns/swc/ontology#hasLocation http://data.semanticuniverse.com/resource/garden
http://data.semanticuniverse.com/resource/semtech-2009-2053 http://purl.org/dc/elements/1.1/audience Technology - Advanced
http://data.semanticuniverse.com/resource/semtech-2009-2053 http://www.w3.org/2002/12/cal/icaltzd/dtStart 2009-06-18T09:45:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
http://data.semanticuniverse.com/resource/semtech-2009-2053 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/mike-personick
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http://data.semanticuniverse.com/resource/semtech-2009-2053 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/reza-bfar
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http://data.semanticuniverse.com/resource/semtech-2009-2053 http://swrc.ontoware.org/ontology#keywords bigdata
http://data.semanticuniverse.com/resource/semtech-2009-2053 http://www.w3.org/2000/01/rdf-schema#label Large-Scale Reasoning
http://data.semanticuniverse.com/resource/semtech-2009-2053 http://purl.org/dc/elements/1.1/title Large-Scale Reasoning
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http://data.semanticuniverse.com/resource/semtech-2009-2053 http://swrc.ontoware.org/ontology#keywords scalability
http://data.semanticuniverse.com/resource/semtech-2009-2053 http://swrc.ontoware.org/ontology#keywords mapreduce
http://data.semanticuniverse.com/resource/semtech-2009-2053 http://purl.org/dc/elements/1.1/abstract Reasoning scalability is one of the road-blocks to pervasive usage of various semantic web technologies, and therefore, blocking the pervasiveness of the semantic web itself.
http://data.semanticuniverse.com/resource/semtech-2009-2053 http://data.semanticweb.org/ns/swc/ontology#isPartOf http://data.semanticuniverse.com/resource/semtech-2009-semantic-web
http://data.semanticuniverse.com/resource/semtech-2009-2053 http://swrc.ontoware.org/ontology#keywords reasoning
http://data.semanticuniverse.com/resource/semtech-2009-2053 http://purl.org/dc/elements/1.1/description <h4>PART I | Cloud Computing with Bigdata®</h4> <p>Scale-out computing is necessary to enable new generations of web-scale businesses based on semantic web technologies. This presentation will introduce key concepts for scale-out architectures, discuss where the "sweet spot" lies for scale-out semantic web applications and some of the challenges involved, and show that such applications are within reach today using bigdata®. This presentation is important because cloud (or grid, or scale-out) computing will increasingly provide the infrastructure for emerging businesses. Open source platforms for cloud computing are vital as they bring enabling technology to more people and enable new businesses by keeping down the cost of scaling out.</p> <P> <hr width="10%" /> <P> <h4>PART II | Using MapReduce to Improve Reasoning Scalability and Performance</h4> <p>MapReduce is an architectural approach that has been used to create massively scalable systems during the past 3-4 years. It's a generic distributed computing architecture to provide parallel processing of things that have typically been treated as atomic. This presentation first goes through a theoretical foundation for application of MapReduce to reasoning, then shows how to exactly apply this, and finally analyzes the results of a prototype application.</p> <P>
http://data.semanticuniverse.com/resource/semtech-2009-1797 http://swrc.ontoware.org/ontology#keywords semantic
http://data.semanticuniverse.com/resource/semtech-2009-1797 http://swrc.ontoware.org/ontology#keywords rdf
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http://data.semanticuniverse.com/resource/semtech-2009-1797 http://swrc.ontoware.org/ontology#keywords mueller
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http://data.semanticuniverse.com/resource/semtech-2009-1797 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/diane-mueller
http://data.semanticuniverse.com/resource/semtech-2009-1797 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.w3.org/2002/12/cal/icaltzd/Vevent
http://data.semanticuniverse.com/resource/semtech-2009-1797 http://purl.org/dc/elements/1.1/description Recent events have heightened the need for transparency in reporting of financial data. Companies are now required to submit regular reports and disclosures conforming to accepted accounting principles, e.g. IFRS, US GAAP. Around the world, financial regulators have now mandated that these reports are tagged using the XBRL. XBRL brings precise semantics to financial data via reference to external accounting principles. Combining XBRL and the Semantic Web creates tremendous potential for analyzing and exploring huge amounts of financial information on companies and markets world wide. This session will discuss: <ul><li>Ramifications for both XBRL and Semantic Web</li> <li>Propose standardization work on this that will complement the work of XBRL International</li> <li>Discuss the Semantic Case Studies for Financial Data</li> <li>Demonstrate current work to date on generating RDF from XBRL repositories</li></ul> <P>
http://data.semanticuniverse.com/resource/semtech-2009-1797 http://purl.org/dc/elements/1.1/abstract This session will focus on exploring the potential for applying the Semantic Web to financial data. This session will be co-presented by Diane Mueller & Dave Raggett
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http://data.semanticuniverse.com/resource/semtech-2009-1797 http://swrc.ontoware.org/ontology#keywords xbrl
http://data.semanticuniverse.com/resource/semtech-2009-1797 http://swrc.ontoware.org/ontology#keywords raggett
http://data.semanticuniverse.com/resource/semtech-2009-1797 http://www.w3.org/2000/01/rdf-schema#label XBRL, RDF and the Semantic Web
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http://data.semanticuniverse.com/resource/semtech-2009-1797 http://purl.org/dc/elements/1.1/audience Technology - Intermediate
http://data.semanticuniverse.com/resource/semtech-2009-1797 http://swrc.ontoware.org/ontology#keywords financial
http://data.semanticuniverse.com/resource/semtech-2009-1797 http://purl.org/dc/elements/1.1/title XBRL, RDF and the Semantic Web
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http://data.semanticuniverse.com/resource/phase2-technology http://www.w3.org/2000/01/rdf-schema#label Phase2 Technology
http://data.semanticuniverse.com/resource/phase2-technology http://xmlns.com/foaf/0.1/member http://data.semanticuniverse.com/resource/frank-febbraro
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http://data.semanticuniverse.com/resource/semtech-2009-1986 http://purl.org/dc/elements/1.1/description Web 2.0 practitioners and semantic web advocates have often struggled to have productive conversations. Thankfully most discussions have moved well beyond the question of whether the Web should have a numbering system and cooperation is becoming more common than competition. Semantic technologists are building their strategy on the foundations of Web 2.0, and current web developers are embracing the enhanced services that semantics can provide. <P> This panel will explain how Web 2.0 developers can - and are - exploiting unique advantages of "Web 3.0" technologies to integrate and add value to their Web 2.0 applications. Topics include how semantics can be applied to: <ul><li>Rich Internet Application (RIA)</li> <li>Web feeds (RSS, Atom, and even Javascript object feeds)</li> <li>User-generated content</li> <li>Mashups</li></ul> <P>
http://data.semanticuniverse.com/resource/semtech-2009-1986 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/nathan-r-yergler
http://data.semanticuniverse.com/resource/semtech-2009-1986 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/alex-iskold
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http://data.semanticuniverse.com/resource/semtech-2009-1986 http://data.semanticweb.org/ns/swc/ontology#isPartOf http://data.semanticuniverse.com/resource/semtech-2009-new-products-and-companies
http://data.semanticuniverse.com/resource/semtech-2009-1986 http://www.w3.org/2000/01/rdf-schema#label Web3-4-Web2
http://data.semanticuniverse.com/resource/semtech-2009-1986 http://purl.org/net/biblio#presentedAt http://data.semanticuniverse.com/resource/semtech-2009
http://data.semanticuniverse.com/resource/semtech-2009-1986 http://purl.org/dc/elements/1.1/abstract How the goals, conventions and developments of Web 2.0 advance the Semantic technology vision and vice versa.
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http://data.semanticuniverse.com/resource/semtech-2009-1986 http://swrc.ontoware.org/ontology#keywords linked-data
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http://data.semanticuniverse.com/resource/semtech-2009-1986 http://purl.org/dc/elements/1.1/title Web3-4-Web2
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http://data.semanticuniverse.com/resource/semtech-2009-1986 http://swrc.ontoware.org/ontology#keywords user-generated-content
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http://data.semanticuniverse.com/resource/semtech-2009-1733 http://purl.org/dc/elements/1.1/abstract This presentation discusses the conceptualization and design of a platform that enables a distributed network of clinicians, public health officers and first responders to deploy ad-hoc, adaptive and platform independent information collection instruments in distributed and occasionally connected environments.
http://data.semanticuniverse.com/resource/semtech-2009-1733 http://purl.org/dc/elements/1.1/audience Technology - Intermediate
http://data.semanticuniverse.com/resource/semtech-2009-1733 http://www.w3.org/2000/01/rdf-schema#label Adaptive and Integrative Structured Data Entry: Ontology Driven, and Just-in-Time Information Collection and Integration for Disaster and Bioterrorism Preparedness
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http://data.semanticuniverse.com/resource/semtech-2009-1733 http://purl.org/dc/elements/1.1/title Adaptive and Integrative Structured Data Entry: Ontology Driven, and Just-in-Time Information Collection and Integration for Disaster and Bioterrorism Preparedness
http://data.semanticuniverse.com/resource/semtech-2009-1733 http://purl.org/dc/elements/1.1/description The ability to collect, integrate and process relevant data in a timely and effective manner is critical for an efficient response to disasters. Often times, novel data elements should be collected from a multitude of sources and places, in an asynchronous and distributed manner, using tools and devices available at the time and in places that may or may not have network connectivity for communication. In this presentation we will introduce and discuss use of semantic technologies to design and implement an integrative and adaptive information collection and integration platform with the following features: <ul><li>Just in time survey design and deployment</li> <li>Dynamic adaptability (survey adapts to the answers to the latest question or latest changes in the underlying model in real time)</li> <li>Unified interaction experience across multiple platforms (web browsers, PDA app, notebook)</li> <li>Transparent and asynchronous operation in occasionally connected environments</li> <li>Automated integration of information submitted from multiple surveys </li></ul> The conceptualizations and design of the system will be discussed and demonstrated. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1898 http://purl.org/dc/elements/1.1/title T11: SSOA - Semantic Service Oriented Architecture
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http://data.semanticuniverse.com/resource/semtech-2009-1898 http://purl.org/dc/elements/1.1/abstract Service-Oriented Architectures (SOA) are part of "silver bullet" technologies that are compelling but fail to live up to their promise. Reasons for this failure are beginning to be well-understood; We can salvage the vision with new uses of established technologies from the Web.
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http://data.semanticuniverse.com/resource/semtech-2009-1898 http://purl.org/dc/elements/1.1/description Service-Oriented Architectures (SOA) are part of a long string of "silver bullet" technologies that are compelling and well-intentioned, but ultimately fail to live up to their promise. The reasons for this failure are beginning to be well-understood, however, and we can salvage the vision with some new uses of established technologies from the Web. <P> Semantically-enabled SOAs require the ability to express business concepts in the language of the implementation technologies in ways that are accessible to the non-technical stakeholders. The Web and its semantic-oriented technologies continue to prove themselves in meeting this challenge. This tutorial will demonstrate the vision, the concepts, the patterns and guidance on implementation roadmaps for successful SOAs by leveraging these technologies. <P>
http://data.semanticuniverse.com/resource/semtech-2009-1645 http://swrc.ontoware.org/ontology#keywords ontologies
http://data.semanticuniverse.com/resource/semtech-2009-1645 http://swrc.ontoware.org/ontology#keywords business-analytics
http://data.semanticuniverse.com/resource/semtech-2009-1645 http://purl.org/dc/elements/1.1/description For years, insurers have struggled with enormous quantities of dormant data isolated in distinct silos and comprised of numerous, incompatible structures and formats. Recently, the industry has begun to embrace semantic technologies as a viable way to aggregate and extract value from these disparate data sources. At this session, we will review the current state of semantic technologies in the insurance industry and present developing trends on their implementation and value. We will review the semantic technologies, approaches and architectures being deployed within the insurance industry. <P>
http://data.semanticuniverse.com/resource/semtech-2009-1645 http://swrc.ontoware.org/ontology#keywords data-mart
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http://data.semanticuniverse.com/resource/semtech-2009-1645 http://purl.org/dc/elements/1.1/title Adoption of Semantic Technologies in the Insurance Industry
http://data.semanticuniverse.com/resource/semtech-2009-1645 http://www.w3.org/2000/01/rdf-schema#label Adoption of Semantic Technologies in the Insurance Industry
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http://data.semanticuniverse.com/resource/semtech-2009-1645 http://purl.org/dc/elements/1.1/abstract Presentation of the introduction, application and evolution of semantic technologies within the insurance industry
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http://data.semanticuniverse.com/resource/semtech-2009-1866 http://purl.org/dc/elements/1.1/description This presentation will provide an overview of the new capabilities enabled by the recently introduced the W3C's OWL 2 RL profile. Focus will be on the practical demonstration of the specific types of logical inferencing that is made possible when using the OWL 2 RL profile with a forward chaining inference engine such as is provided by BaseVISor, Jena, Jess and OWLIM. Each significant axiom in OWL 2 RL will be illustrated visually with simple examples to show the explicit types of facts that can be logically inferred. The presentation will also include a discussion of the computational complexities involved in of reasoning with OWL 2 RL relative to the other OWL 2 profiles. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1866 http://purl.org/dc/elements/1.1/title Practical OWL 2 RL Reasoning Via Fast Forward Chaining Inference Engines
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http://data.semanticuniverse.com/resource/semtech-2009-1866 http://swrc.ontoware.org/ontology#keywords forward-chaining-inferencing
http://data.semanticuniverse.com/resource/semtech-2009-1866 http://www.w3.org/2000/01/rdf-schema#label Practical OWL 2 RL Reasoning Via Fast Forward Chaining Inference Engines
http://data.semanticuniverse.com/resource/semtech-2009-1866 http://purl.org/dc/elements/1.1/abstract Describe the new capabilities enabled by the OWL 2 RL profile. Demonstrate the specific types of inferencing available through the OWL 2 RL axioms. Overview extant forward chaining reasoners.
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http://data.semanticuniverse.com/resource/semtech-2009-1802 http://purl.org/dc/elements/1.1/title Approaches to Ontology Integration: Federated SPARQL Queries and SWRL Rules
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http://data.semanticuniverse.com/resource/semtech-2009-1802 http://swrc.ontoware.org/ontology#keywords sparql
http://data.semanticuniverse.com/resource/semtech-2009-1802 http://purl.org/dc/elements/1.1/description When considering OWL ontologies, a common approach to information integration is mapping equivalency relationships between classes, properties, and individuals in the ontologies. Here, we describe two approaches to solving the problem of automatically matching identical individuals in separate ontologies and merging information about those individuals. The first approach involves a graphical tool for building and executing federated SPARQL queries to integrate information from distributed sources. The second approach involves building SWRL rules to identify equivalent individuals between ontologies. Finally, we will demonstrate an application of these techniques using currently available technology. <P>
http://data.semanticuniverse.com/resource/semtech-2009-1802 http://swrc.ontoware.org/ontology#keywords onology
http://data.semanticuniverse.com/resource/semtech-2009-1802 http://www.w3.org/2002/12/cal/icaltzd/dtStart 2009-06-18T07:30:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
http://data.semanticuniverse.com/resource/semtech-2009-1802 http://purl.org/dc/elements/1.1/abstract The Semantic Web vision includes the power to join information from distributed sources to discover new relationships. On an enterprise scale, it is not possible to manually discover these equivalencies. We present a way of discovering them automatically based on the structure of the ontologies.
http://data.semanticuniverse.com/resource/semtech-2009-1802 http://swrc.ontoware.org/ontology#keywords semantic-mapping
http://data.semanticuniverse.com/resource/semtech-2009-1802 http://swrc.ontoware.org/ontology#keywords interoperability
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http://data.semanticuniverse.com/resource/semtech-2009-1802 http://www.w3.org/2000/01/rdf-schema#label Approaches to Ontology Integration: Federated SPARQL Queries and SWRL Rules
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http://data.semanticuniverse.com/resource/semtech-2009-1802 http://swrc.ontoware.org/ontology#keywords inference
http://data.semanticuniverse.com/resource/semtech-2009-1802 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/alex-hall
http://data.semanticuniverse.com/resource/semtech-2009-1802 http://swrc.ontoware.org/ontology#keywords federation
http://data.semanticuniverse.com/resource/semtech-2009-1802 http://swrc.ontoware.org/ontology#keywords rules
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http://data.semanticuniverse.com/resource/semtech-2009-2066 http://purl.org/dc/elements/1.1/description In this presentation, we introduce some kinds of information which can be captured from 3G networks, our approach for it and our experience. And we also introduce some use cases for personalized content delivery as real cases in KTF, which is one of biggest telecommunication companies in Korea. Major subjects in this presentation as follows: - Characteristics of personal information in 3G Networks - Profile Identification - Extract user preference from implicit user behavior - Discover social relationships from Call Detail Data (CDR) &#45; Use cases. <P>
http://data.semanticuniverse.com/resource/semtech-2009-2066 http://www.w3.org/2002/12/cal/icaltzd/dtStart 2009-06-17T11:45:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
http://data.semanticuniverse.com/resource/semtech-2009-2066 http://www.w3.org/2000/01/rdf-schema#label Mobile Semantics: Personalized Content Delivery System for Intelligent Mobile Services
http://data.semanticuniverse.com/resource/semtech-2009-2066 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/eddie-choi
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http://data.semanticuniverse.com/resource/semtech-2009-2066 http://swrc.ontoware.org/ontology#keywords social-network
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http://data.semanticuniverse.com/resource/semtech-2009-2066 http://swrc.ontoware.org/ontology#keywords ims
http://data.semanticuniverse.com/resource/semtech-2009-2066 http://purl.org/dc/elements/1.1/title Mobile Semantics: Personalized Content Delivery System for Intelligent Mobile Services
http://data.semanticuniverse.com/resource/semtech-2009-2066 http://purl.org/dc/elements/1.1/audience Technology - Intermediate
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http://data.semanticuniverse.com/resource/semtech-2009-2066 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/tony-lee
http://data.semanticuniverse.com/resource/semtech-2009-2066 http://purl.org/dc/elements/1.1/abstract Although semantic discovery is very important to utilize the personalized services and exerts a powerful influence on related businesses there are still lots of challenges. Saltlux will present the extended industrial experiences based on our two-year experience in the realm of CDE development.
http://data.semanticuniverse.com/resource/semtech-2009-2066 http://swrc.ontoware.org/ontology#keywords intelligent-recommendation
http://data.semanticuniverse.com/resource/semtech-2009-2066 http://swrc.ontoware.org/ontology#keywords mobile-middleware
http://data.semanticuniverse.com/resource/semtech-2009-1778 http://swrc.ontoware.org/ontology#keywords semantic-web
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http://data.semanticuniverse.com/resource/semtech-2009-1778 http://purl.org/dc/elements/1.1/audience Technology - Introductory
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http://data.semanticuniverse.com/resource/semtech-2009-1778 http://purl.org/dc/elements/1.1/abstract Enjoying web browsing is achieved by high mental categorization that, shaped in a graph, can represent the user view of the web. If friends share their own graphs, each one can exploit web 'sense enrichments' made by others.
http://data.semanticuniverse.com/resource/semtech-2009-1778 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/michele-minno
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http://data.semanticuniverse.com/resource/semtech-2009-1778 http://swrc.ontoware.org/ontology#keywords enhanced-web-browsing
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http://data.semanticuniverse.com/resource/semtech-2009-1778 http://swrc.ontoware.org/ontology#keywords web-conceptualization
http://data.semanticuniverse.com/resource/semtech-2009-1778 http://purl.org/dc/elements/1.1/title 99ways to Build Your Own Web
http://data.semanticuniverse.com/resource/semtech-2009-1778 http://www.w3.org/2002/12/cal/icaltzd/dtStart 2009-06-17T11:00:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
http://data.semanticuniverse.com/resource/semtech-2009-1778 http://www.w3.org/2000/01/rdf-schema#label 99ways to Build Your Own Web
http://data.semanticuniverse.com/resource/semtech-2009-1778 http://purl.org/dc/elements/1.1/description Bookmarking tools, and their collaborative tagging versions, are contributing to the illusion of quick, a-responsible definition of the world of interest; but a layer of messy, self-contradicting data around each node/page is the only concrete achieved result. Therefore all value-added in finding pages similarities/connections, putting them into own categories to incrementally get a personal view of the web lays only in each fingers' memory. This talk is about giving a shape to all this in a graph fashion, with nodes standing for areas of interest and arches representing affinity relations between them. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1746 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://data.semanticweb.org/ns/swc/ontology#SessionEvent
http://data.semanticuniverse.com/resource/semtech-2009-1746 http://www.w3.org/2000/01/rdf-schema#label Semantic Web Technologies as a Framework for Clinical Informatics
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http://data.semanticuniverse.com/resource/semtech-2009-1746 http://purl.org/dc/elements/1.1/abstract In this session we discuss the merits of using Semantic Web Technologies as a framework for managing and identifying patient populations for clinical research.
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http://data.semanticuniverse.com/resource/semtech-2009-1746 http://swrc.ontoware.org/ontology#keywords informatics
http://data.semanticuniverse.com/resource/semtech-2009-1746 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/chimezie-u-ogbuji
http://data.semanticuniverse.com/resource/semtech-2009-1746 http://www.w3.org/2002/12/cal/icaltzd/dtStart 2009-06-16T11:45:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
http://data.semanticuniverse.com/resource/semtech-2009-1746 http://purl.org/dc/elements/1.1/description The ability to identify patient populations for clinical research according to specific criteria is a critical component of clinical informatics. Traditionally, database systems that leverage relational databases are used to store and manage the data targeted for population identification. The process of starting with an abstract research question (posed in prose) and distilling it into the specific query plans and corresponding data structures necessary to answer such research questions is often significantly tedious and primarily driven by idiosyncrasies of how the data is stored rather than the underlying science that guides the intuition of the researcher. Contemporary clinical data management systems have yet to move beyond this approach. <P> The Cleveland Clinic and Cycorp Inc. have developed a state-of-the-art query interface that builds query fragments through natural language-driven interactions with an investigator. This interface targets a clinical research repository comprised of patient record content expressed in an RDF dataset that conforms to a patient record OWL ontology and is queried over the SPARQL service protocol. It leverages the Cyc common sense ontology, Cyc&#39;s natural language processing capabilities, formalized mappings from the common sense ontology into the patient record ontology, and the availability of a SPARQL service for querying the patient population. <P> In this session, we describe the specifics of this framework, enumerate its strengths and weaknesses, and derive insights into the opportunities and challenges of adopting Semantic Web Technologies for the purpose of managing and identifying patient populations. <P>
http://data.semanticuniverse.com/resource/semtech-2009-1746 http://swrc.ontoware.org/ontology#keywords records
http://data.semanticuniverse.com/resource/semtech-2009-1746 http://purl.org/dc/elements/1.1/title Semantic Web Technologies as a Framework for Clinical Informatics
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http://data.semanticuniverse.com/resource/sanjiva-nath http://xmlns.com/foaf/0.1/name Sanjiva Nath
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http://data.semanticuniverse.com/resource/semtech-2009-1714 http://purl.org/dc/elements/1.1/audience Business
http://data.semanticuniverse.com/resource/semtech-2009-1714 http://swrc.ontoware.org/ontology#keywords talent-management
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http://data.semanticuniverse.com/resource/semtech-2009-1714 http://www.w3.org/2002/12/cal/icaltzd/dtEnd 2009-06-17T17:00:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
http://data.semanticuniverse.com/resource/semtech-2009-1714 http://swrc.ontoware.org/ontology#keywords knowledge-management
http://data.semanticuniverse.com/resource/semtech-2009-1714 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/jesus-contreras
http://data.semanticuniverse.com/resource/semtech-2009-1714 http://purl.org/dc/elements/1.1/description Open innovation paradigm has a growing success in the last years. The main principle consists in opening the R&D process involving all the employees of the company, customers and external organizations. In this presentation we will show the architecture of the technological layer we developed in order to support the adoption of this new paradigm in two wide enterprises respectively in financial and communication fields. Collaborative philosophy and semantic technology are built together for a more efficient and effective innovation flow management allowing better performance and new functionalities in these kinds of solutions. Thanks to semantic technology the tools supporting open innovation paradigm help with: <ul><li>Idea Management: Ideas are processed using semantic technologies for their evaluations, browsing, searching and relating.</li> <li>Talent Management: Expert and interest discovery are supported using semantic profiling</li> <li>Knowledge Management: Corporate knowledge is linked and integrated within the innovation and idea life cycle.</li> <li>Collaboration and Innovation Culture: Communities of practice are supported using a combination of web 2.0, social network and semantic technology in a corporate environment.</li></ul> <P>
http://data.semanticuniverse.com/resource/semtech-2009-1714 http://swrc.ontoware.org/ontology#keywords semantic-technology
http://data.semanticuniverse.com/resource/semtech-2009-1714 http://purl.org/dc/elements/1.1/title Open Innovation Paradigm Implemented Using Web 3.0 Technology
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http://data.semanticuniverse.com/resource/semtech-2009-1714 http://purl.org/dc/elements/1.1/abstract We explain how semantic technology and Web 2.0 approach can help in the corporate R&D process. We explain real commercial projects where the open innovation paradigm were implemented and deployed in large Spanish companies.
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http://data.semanticuniverse.com/resource/semtech-2009-1935 http://purl.org/dc/elements/1.1/abstract In this user group, open to all interested parties, we will show how to bring OpenCalais into Drupal sites, show what's new in OpenCalais, and how to use it to extract metadata and harvest the Linked Data cloud.
http://data.semanticuniverse.com/resource/semtech-2009-1935 http://purl.org/dc/elements/1.1/description <strong>3:15 p.m.</strong> See how to bring OpenCalais into Drupal sites and demo the free OpenPublish platform with Jeff Walpole and Frank Febbraro of Phase2 Technology. <P> <strong>4:30 p.m.</strong> Learn what's new in OpenCalais, and how to use it to extract metadata and harvest the Linked Data cloud. Tom Tague, OpenCalais and James Leigh, James Leigh Services Inc. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-2135 http://purl.org/dc/elements/1.1/abstract Introduction of the notion of reasnable-views and presentation of LDSR and PIKB views
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http://data.semanticuniverse.com/resource/semtech-2009-2135 http://purl.org/dc/elements/1.1/description Reason-able views represent an approach for reasoning with the data from the Linking Open Data (LOD) cloud. Reason-able view is a selection of datasets which were first loaded into a single repository, than light-weight reasoning and materialization were performed. This talk presents two such views, which are both available through public servers for exploration and querying. Linked Data Semantic Repository (LDSR) includes several of the central datasets of LOD (e.g. DBPedia, Geonames, Wordnet, and UMBEL) together with few ontologies and schemata defining their semantics (e.g. SKOS and Dublin Core). The view includes about 350M explicit and 500M implicit statements. LinkedLifeData is a platform for semantic data integration realized using an RDF warehousing technology. The platform supports efficient reasoning on top of a common data model, unlocks the information stored in silos and publishes the knowledge in easily reusable way. PIKB is a showcase of LinkedLifeData that includes more than 10 of the most popular biomedical data sources as Uniprot, Entrez-Gene, Gene Ontology, UMLS, Pubmed and multiple databases. PIKB is also a reason-able view to LOD, as most of the datasets in it are part of the linked data cloud. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-2135 http://purl.org/dc/elements/1.1/title Two Reason-able Views to the Web of Linked Data
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http://data.semanticuniverse.com/resource/semtech-2009-1672 http://purl.org/dc/elements/1.1/title Semantic Community-Semantic Exchange Partnership Meeting
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http://data.semanticuniverse.com/resource/semtech-2009-1672 http://purl.org/dc/elements/1.1/description The Federal Semantic Interoperability Community of Practice (SICoP) has evolved to the Semantic Community-Semantic Exchange Partnership, independent of the Federal CIO Council, to foster semantic technology infrastructure and education in public-private partnerships launched at the 2008 Semantic Technology Conference in May 2008. This meeting will features reports for the various participants and the Semantic Technology Infrastructure and Education Jump Start Kit. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1640 http://www.w3.org/2000/01/rdf-schema#label Semantic Advertising Roundtable
http://data.semanticuniverse.com/resource/semtech-2009-1640 http://swrc.ontoware.org/ontology#keywords semantic-advertising
http://data.semanticuniverse.com/resource/semtech-2009-1640 http://swrc.ontoware.org/ontology#keywords online-advertising
http://data.semanticuniverse.com/resource/semtech-2009-1640 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/scott-brinker
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http://data.semanticuniverse.com/resource/semtech-2009-1640 http://purl.org/dc/elements/1.1/title Semantic Advertising Roundtable
http://data.semanticuniverse.com/resource/semtech-2009-1640 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/amit-kumar
http://data.semanticuniverse.com/resource/semtech-2009-1640 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/brooke-aker
http://data.semanticuniverse.com/resource/semtech-2009-1640 http://purl.org/dc/elements/1.1/description This moderated panel will discuss "semantic advertising" in the market today, with representatives from: <P> <ul><li>An ad network using semantic technology (Peer39)</li> <li>a company using semantic technology to dynamically generate advertising content (Dapper)</li> <li>A company using semantic technology to dynamically feed ad content on a mobile platform (Expert System)</li> <li>an expert in advertising and former CEO of the Interactive Advertising Bureau (Greg Stuart)</li> </ul> The focus of this session would be to give business people and technologists an understanding of how semantic technology is being used in online advertising today. This would be a broad survey of the different ideas labeled as "semantic advertising" -- presented by the people leading those initiatives. <P>
http://data.semanticuniverse.com/resource/semtech-2009-1640 http://data.semanticweb.org/ns/swc/ontology#isPartOf http://data.semanticuniverse.com/resource/semtech-2009-semantic-search
http://data.semanticuniverse.com/resource/semtech-2009-1640 http://swrc.ontoware.org/ontology#keywords dynamic-advertising
http://data.semanticuniverse.com/resource/semtech-2009-1640 http://purl.org/dc/elements/1.1/abstract This panel will introduce the different types of semantic advertising in the market today.
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http://data.semanticuniverse.com/resource/semtech-2009-semantic-search http://www.w3.org/2000/01/rdf-schema#label Semantic Search
http://data.semanticuniverse.com/resource/semtech-2009-1815 http://data.semanticweb.org/ns/swc/ontology#isPartOf http://data.semanticuniverse.com/resource/semtech-2009-ontology-concepts
http://data.semanticuniverse.com/resource/semtech-2009-1815 http://swrc.ontoware.org/ontology#keywords ontology-design
http://data.semanticuniverse.com/resource/semtech-2009-1815 http://swrc.ontoware.org/ontology#keywords opencyc-ontology
http://data.semanticuniverse.com/resource/semtech-2009-1815 http://purl.org/dc/elements/1.1/abstract Integrating external ontologies and linked open data sets with the Cyc ontology has revealed some representational challenges that may impede progress in widespread ontology and data integration. This presentation examines some of these challenges and potential solutions.
http://data.semanticuniverse.com/resource/semtech-2009-1815 http://swrc.ontoware.org/ontology#keywords linked-open-data-integration
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http://data.semanticuniverse.com/resource/semtech-2009-1815 http://www.w3.org/2000/01/rdf-schema#label Turbulence in the Linked Open Data and Ontology Clouds
http://data.semanticuniverse.com/resource/semtech-2009-1815 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.w3.org/2002/12/cal/icaltzd/Vevent
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http://data.semanticuniverse.com/resource/semtech-2009-1815 http://purl.org/dc/elements/1.1/audience Technology - Intermediate
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http://data.semanticuniverse.com/resource/semtech-2009-1815 http://purl.org/dc/elements/1.1/title Turbulence in the Linked Open Data and Ontology Clouds
http://data.semanticuniverse.com/resource/semtech-2009-1815 http://purl.org/dc/elements/1.1/description Two major causes for optimism in the Semantic Technologies community are 1) the rapid growth in the availability of open (linkable) structured datasets and associated ontologies, and 2) the belief that shared representation schemata will enable ontology integration and data sharing. Over the past year, Cycorp has made a concerted effort to link the Cyc ontology to a number of external structured datasets and ontologies, taxonomies, and thesauri. This experience has revealed several areas in which knowledge representation issues in many current data sources and ontologies have been addressed non-uniformly, sub-optimally, or not at all. This presentation will examine some of these representational challenges, with an emphasis on their impact on ontology integration as well as a focus on suggestions for representational improvement. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-2047 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/kurt-alan-cagle
http://data.semanticuniverse.com/resource/semtech-2009-2047 http://purl.org/dc/elements/1.1/audience Technology - Intermediate
http://data.semanticuniverse.com/resource/semtech-2009-2047 http://www.w3.org/2000/01/rdf-schema#label Restful Web Services
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http://data.semanticuniverse.com/resource/semtech-2009-2047 http://purl.org/dc/elements/1.1/description RESTful services, which focus much more on simple CRUD like interfaces and a resource oriented approach to development, are becoming key to the development of the 21st century web. Semantic Discovery, in particular, becomes far easier with RESTful architectures. This panel looks at RESTful semantic discovery and why it has such implications for web-based semantic web development. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-2047 http://swrc.ontoware.org/ontology#keywords services-architectures
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http://data.semanticuniverse.com/resource/semtech-2009-2047 http://purl.org/dc/elements/1.1/title Restful Web Services
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http://data.semanticuniverse.com/resource/semtech-2009-2047 http://purl.org/dc/elements/1.1/abstract This presentation examines the traditional view of web services, the emerging RESTful web services architecture and how this is changing the view of semantics and semantic discovery on the web.
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http://data.semanticuniverse.com/resource/semtech-2009-1584 http://swrc.ontoware.org/ontology#keywords biomedical-ontologies
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http://data.semanticuniverse.com/resource/semtech-2009-1584 http://purl.org/dc/elements/1.1/abstract BioPortal is an open repository of biomedical ontologies that provides tools and services to access and visualize ontologies, to comment on them, to provide ratings and evaluation of ontologies, to create and aggregate mappings between them, and to access biomedical resources annotated with ontology terms.
http://data.semanticuniverse.com/resource/semtech-2009-1584 http://purl.org/dc/elements/1.1/description Biomedical ontologies provide essential domain knowledge to drive data integration, information retrieval, data annotation, natural-language processing, and decision support. The National Center for Biomedical Ontology is developing BioPortal, a Web-based system that serves as a repository for biomedical ontologies. BioPortal fosters relationships among those ontologies and between the ontologies and on-line data resources such as PubMed, ClinicalTrials.gov, and the Gene Expression Omnibus (GEO). BioPortal supports not only the technical requirements for access to biomedical ontologies either via Web browsers or via Web services, but also community-based participation in the evaluation and evolution of ontology content. BioPortal enables ontology users to learn what biomedical ontologies exist, what a particular ontology might be good for, and how individual ontologies relate to one another. BioPortal is available online at http://bioportal.bioontology.org. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1584 http://purl.org/dc/elements/1.1/title BioPortal: A Web Repository and Services for Biomedical Ontologies and Data Resources
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http://data.semanticuniverse.com/resource/semtech-2009-1520 http://purl.org/dc/elements/1.1/title CASE STUDY: Contextual Search and Analysis with Intelligent Discovery for Enterprise Wiki at Large Pharma Organization
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http://data.semanticuniverse.com/resource/semtech-2009-1520 http://purl.org/dc/elements/1.1/abstract iQuest BlueAnt created a rich semantic knowledge structure index that was integrated with an enterprise wiki at a large pharma organization. It allowed users to uncover more relevant information with 'Contextual Search and Analysis with Intelligent Discovery,' for better sense-making that's crucial for uncovering hidden patterns and relationships with actionable insights.
http://data.semanticuniverse.com/resource/semtech-2009-1520 http://purl.org/dc/elements/1.1/description Knowledge acquisition is deeply contextual and requires stimulus for recall. People use heuristics, pattern matching and extrapolation to make decisions, coupled with complex blending of ideas and experiences. Our brains process fragmented patterns with finely granulated information objects, not highly structured documents. With information today becoming more real-time and dynamic, knowledge workers, analysts and researchers need a solution that generates a 'contextually linked knowledge graph.' <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1994 http://purl.org/dc/elements/1.1/abstract This is a &#34;Combo Session&#34 of two presentations: PART I | Three Approaches to Lenses for Web 3.0 Applications: A Survey and PART II | jSpace: SPARQL-based Faceted browsing for Information Integration Applications
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http://data.semanticuniverse.com/resource/semtech-2009-1994 http://purl.org/dc/elements/1.1/title Faceted Browsing Tools
http://data.semanticuniverse.com/resource/semtech-2009-1994 http://purl.org/dc/elements/1.1/description <h4>PART I | Three Approaches to Lenses for Web 3.0 Applications: A Survey</h4> <p>This session compares approaches for building modular, dynamic Web 3.0 applications using Web 'lenses'. Lenses are reusable bits of Web user interface that can be bound to data and stitched together to easily compose dynamic Web applications. Three cutting-edge technologies for building and using lenses have emerged recently:</p> <P> <ul> <li>Exhibit is a lightweight Web-publishing framework that uses HTML lenses and JSON data</li> <li>Fresnel is an RDF lens vocabulary for displaying RDF data</li> <li>Mojo is a semantic lens technology based on HTML &amp; JavaScript from Cambridge Semantics</li> </ul> <P> <hr width="10%" /> <P> <h4>PART II | jSpace: SPARQL-based Faceted browsing for Information Integration Applications</h4> <p>We will discuss the use of jSpace, a visual query builder for SPARQL, as a faceted browser over RDF-based integrated data sets using SPARQL as a high-end query language. The increasing use of semantics to accomplish and enhance information integration efforts lends itself to faceted browsing. By providing a simple, but fully customizable user interface, jSpace gives users the power to step through arbitrarily large and complex integrated data sets, which are annotated with respect to a well-defined OWL or RDF schema, by exploring the facets of the data they are most interested in, letting them browse through the data via a point and click interface.</p> <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1741 http://purl.org/dc/elements/1.1/abstract Semantic Interoperability is a major challenge for military information systems. This presentation outlines a framework within which the interoperability challenge can be decomposed into presumably manageable areas, where technological proof-of-concept is within reach.
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http://data.semanticuniverse.com/resource/semtech-2009-1741 http://purl.org/dc/elements/1.1/description The military domain is traditionally characterized by hierarchies and structure. If we were to choose an enterprise for successful implementation of an Enterprise Semantic Web, the well-defined properties of the military would be very attractive. <P> To cope with military requirements of net-centricity and composition of joint coalition forces, there is a need for automization in the area of semantic interoperability between systems. It is necessary to develop methods and techniques which do not require presence of a common data model for systems to interoperate. <P> The framework presented relies heavily on the use of ontologies to represent the necessary concepts, definitions and structures as a foundation for a common understanding between two communicating parties. It is being worked on in a research group within Nato. <P> This presentation aims to provide a context for researchers and solution providers to provide building blocks that can fill in the picture and stepwise contribute to the automization of semantic interoperabiity. Among the targeted areas of interest are: <ul><li>ontology driven information integration</li> <li>mediation</li> <li>ontology mapping/bridging</li> <li>ontology alignment</li> <li>higher-level ontologies</li></ul> <P>
http://data.semanticuniverse.com/resource/semtech-2009-1741 http://purl.org/dc/elements/1.1/title A Framework for Semantic Interoperability in the Military Domain
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http://data.semanticuniverse.com/resource/semtech-2009-1741 http://www.w3.org/2000/01/rdf-schema#label A Framework for Semantic Interoperability in the Military Domain
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http://data.semanticuniverse.com/resource/semtech-2009-1962 http://purl.org/dc/elements/1.1/description Over the past seven years, LANL's Digital Knowledge Factory has created a suite of digital-content-analysis tools. This combination of COTS, Open Source, and homegrown code is used to gather, reduce, annotate, organize, synthesize, and visualize digital content for human consumption. Word-location algorithms automatically extract the "gist" of the content, while others annotate targeted concepts, organize documents and calculate goodness of fit with respect to a specified conceptual area. With larger collections, we categorize subject-matter expertise, emerging and fading distill content into a variety of single-page graphical representations. Through a reduction process we focus the analyst on the important concepts and the relationships among them. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1962 http://purl.org/dc/elements/1.1/abstract Present algorithms / Tools to gather, reduce, annotate, organize, synthesize, and visualize, digital content for human consumption. Tools for automated extraction of knowledge from unstructured text (web pages, emails, documents, ...)
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http://data.semanticuniverse.com/resource/semtech-2009-1962 http://purl.org/dc/elements/1.1/title Derivation of Knowledge from Digital Content
http://data.semanticuniverse.com/resource/semtech-2009-2148 http://purl.org/dc/elements/1.1/description Topics for discussions, demonstrations etc: <P> <ol><li>What is Linked Data?</li> <li>Why is it important?</li> <li>How do I get going with it?</li> <li>Who's doing what right now?</li> <li>Lightening Talks and Demos</li> <li>Questions and Answers</li> </ul> <br /> <p>RSVP Here please: <a href="http://www.meetup.com/linkeddata/calendar/10621610/" target="_blank">http://www.meetup.com/linkeddata/calendar/10621610/</a></p> <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1653 http://purl.org/dc/elements/1.1/title A Semantic Approach to Contract Management
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http://data.semanticuniverse.com/resource/semtech-2009-1653 http://purl.org/dc/elements/1.1/description Poorly managed contracts can have a significant business impact in the form of lost revenue, unmanaged risk and missed savings opportunities. While companies continue to invest in contract management solutions, much of the risk and opportunity remains hidden within the words of the legal document, available only for human interpretation. The introduction of semantic technology within the contract information management landscape provides an exciting opportunity to dramatically change the state of the art for contract management. Specific opportunities to explore include: <ul><li>Entity and knowledge extraction from unstructured data</li> <li>Inclusion of semantic markup within document templates</li> <li>Domain specific ontology and taxonomies</li> <li>Rules and queries to support risk and compliance</li> <li>Integration with existing ERP and CLM applications via Service Oriented Architecture (SOA)</li></ul> <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1653 http://purl.org/dc/elements/1.1/abstract Explore the use of semantic technology within the enterprise information landscape for contract management. The unstructured nature of contracts and their business value creates an ideal opportunity for semantic processing.
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http://data.semanticuniverse.com/resource/semtech-2009-1828 http://purl.org/dc/elements/1.1/description The vision of the Semantic Web is great, but how do you get started building semantic applications? <P> This tutorial puts standards in perspective, showing how you easily build a semantic application using today's technologies. The tutorial will provide short introductions to foundation layer technologies and standards and show how they can be used together to build simple but useful applications. These simple applications will also introduce patterns which scale to larger, production worthy applications. <P> <ul><li>The RDF model</li> <li>Semantic modeling </li> <li>Introduction to SPARQL</li> <li>Consuming Linked Data</li> <li>Mixing semantic and non-semantic data sources</li></ul> <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1828 http://purl.org/dc/elements/1.1/abstract Vision is great, but how do you get started building semantic applications? This tutorial puts standards in perspective, showing how you easily build a semantic application using today's technologies.
http://data.semanticuniverse.com/resource/semtech-2009-1828 http://purl.org/dc/elements/1.1/title T5: Build A Semantic App Today
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http://data.semanticuniverse.com/resource/semtech-2009-2130 http://purl.org/dc/elements/1.1/title The Semantic Web Gang looks back at SemTech 2009
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http://data.semanticuniverse.com/resource/semtech-2009-2130 http://www.w3.org/2000/01/rdf-schema#label The Semantic Web Gang looks back at SemTech 2009
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http://data.semanticuniverse.com/resource/semtech-2009-2130 http://purl.org/dc/elements/1.1/description Every month, the Semantic Web Gang podcast brings together a team of researchers, practitioners and managers to share their views on topical developments in the semantic technology space. In a departure from the regular telephone conversation, June's Gang finds host Paul Miller together on stage with Gang regulars and special guests Richard MacManus (ReadWriteWeb) and Tony Shaw (Semantic Universe). We'll be taking a typical Gang look back over the Semantic Technology Conference, discussing our impressions and listening to those of our audience. Come along to see the Gang in action, to hear their opinions, and to make your own views a part of June's podcast. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1621 http://purl.org/dc/elements/1.1/audience Technology - Intermediate
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http://data.semanticuniverse.com/resource/semtech-2009-1621 http://purl.org/dc/elements/1.1/abstract This talk surveys a number of problems with RDF and outlines the design of an improved version of RDF which can be put in place with minimal changes to existing RDF systems.
http://data.semanticuniverse.com/resource/semtech-2009-1621 http://purl.org/dc/elements/1.1/description RDF is the foundation of the Semantic Web. Even while it was being designed, flaws and gaps in the design were becoming apparent, and others have surfaced since. Perhaps more seriously, RDF 'in the field' is being used in ways that work, but don't conform strictly to the published specifications. This talk surveys a number of these issues and suggests ways to improve RDF without requiring major changes to existing RDF systems. This is a bit like installing a new foundation under an existing building. Areas of improvement include: <ul><li>an improved design for 'blank nodes'</li> <li>an intuitive system for naming graphs</li> <li>a user-deployable system for defining semantic extensions, allowing future OWL/RDF type mashups to be handled much more simply</li> <li>a comprehensive notational system for resolving URI-naming issues (is the website the thing or is it about the thing?)</li></ul> <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1722 http://purl.org/dc/elements/1.1/description There is a large void between unstructured web of pages and anticipated web of data. Semantic tagging can be one of the easiest points of fusion. Past initiatives failed to take off because they were aiming too high, produced too complicated proposals or lacked web industry support. <P> In mid-December 2008, a web industry group launched an open "Simple Semantic Tagging Standard" which addresses interweaving of semantic tags into existing web documents using existing semantic technologies such as RDFa. The primary goal is to create an ecosystem of producers, distributors, recommenders and consuming applications that provide enough incentives for other players to join the effort. <P> Key takeaways: <ul><li>what is simple semantic tagging, who is participating</li> <li>benefits of semantic tags for applications consuming them</li> <li>gains for publishers having semantic tags</li> <li>example use cases</li></ul> <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1722 http://purl.org/dc/elements/1.1/abstract Simple Semantic Tagging Standard will be presented. Participants will get basic technical orientation and see how being part of the ecosystem can benefit publishers, distributors and consuming services/applications.
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http://data.semanticuniverse.com/resource/semtech-2009-2129 http://purl.org/dc/elements/1.1/abstract The objective is to understand what Description Logics are, how they work, what they are good for, and what we can expect to see in the next generation of semantic technologies.
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http://data.semanticuniverse.com/resource/semtech-2009-2129 http://purl.org/dc/elements/1.1/description Although they have a range of applications, Description Logics (DLs) are best known as the basis for widely used ontology languages and reasoning systems. This tutorial will provide a gentle introduction to DLs, explaining their relationship to other logics, knowledge representation languages (including the OWL ontology language) and Databases. In addition, we will examine what DL reasoning is good for (and what it is not good for), and learn how the reasoning systems at the heart of many semantic tools actually work. Finally, we will explore recent advances in DL research and the impact that they can be expected to have on the next generation of semantic technologies. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-2143 http://www.w3.org/2000/01/rdf-schema#label An introduction to Metatomix and the Metatomix Platform.
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http://data.semanticuniverse.com/resource/semtech-2009-2143 http://purl.org/dc/elements/1.1/title An introduction to Metatomix and the Metatomix Platform.
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http://data.semanticuniverse.com/resource/semtech-2009-2143 http://purl.org/dc/elements/1.1/abstract The presentation will include an introduction and history of the company as well as a high level overview of the Metatomix Platform.
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http://data.semanticuniverse.com/resource/semtech-2009-2143 http://purl.org/dc/elements/1.1/description This presentation will include an introduction and history of Metatomix, Inc. as well as a high level overview of the Metatomix Platform and the new Discovery Text Analytics Suite. Some case studies will also be covered. <P> - An introduction to Metatomix - Our use of Semantic Technology and the type of problems we solve - An overview of the Metatomix Platform - The Discovery Suite of text analytics tools - Case Studies - Questions and Answers <P>
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http://data.semanticuniverse.com/resource/semtech-2009-2111 http://swrc.ontoware.org/ontology#keywords metadata-management
http://data.semanticuniverse.com/resource/semtech-2009-2111 http://www.w3.org/2002/12/cal/icaltzd/dtEnd 2009-06-17T16:45:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
http://data.semanticuniverse.com/resource/semtech-2009-2111 http://purl.org/net/biblio#presentedAt http://data.semanticuniverse.com/resource/semtech-2009
http://data.semanticuniverse.com/resource/semtech-2009-2111 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/patrice-krakow
http://data.semanticuniverse.com/resource/semtech-2009-2111 http://www.w3.org/2002/12/cal/icaltzd/dtStart 2009-06-17T15:45:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
http://data.semanticuniverse.com/resource/semtech-2009-2111 http://purl.org/dc/elements/1.1/description In this presentation, we will report and demonstrate a novel approach to system integration, using semantic technology. By adopting this new methodology, the traditional field-to-field format mapping used within a message-oriented middleware is replaced by the commitments of the involved formats with business semantics, organized through Business Semantics Management. Semantic technology makes explicit the semantics contained within the involved data formats. These semantics make the contextual meaning clear, and can then be processed by the middleware system to handle the tedious translation. <P>
http://data.semanticuniverse.com/resource/semtech-2009-2111 http://purl.org/dc/elements/1.1/abstract Current system integration approaches result in ad-hoc solutions, which lead to an increase in legacy and costly maintenance. We will demonstrate a semantic, value-creating approach to system integration in a real-world business case.
http://data.semanticuniverse.com/resource/semtech-2009-2111 http://swrc.ontoware.org/ontology#keywords semantic-integration
http://data.semanticuniverse.com/resource/semtech-2009-2111 http://data.semanticweb.org/ns/swc/ontology#isPartOf http://data.semanticuniverse.com/resource/semtech-2009-semantic-integration
http://data.semanticuniverse.com/resource/semtech-2009-2111 http://www.w3.org/2000/01/rdf-schema#label Delivering Semantic Integration with Business Semantics Management: a testimonial from the packaging industry
http://data.semanticuniverse.com/resource/semtech-2009-2111 http://swrc.ontoware.org/ontology#keywords use-case
http://data.semanticuniverse.com/resource/semtech-2009-2111 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://data.semanticweb.org/ns/swc/ontology#SessionEvent
http://data.semanticuniverse.com/resource/semtech-2009-2111 http://swrc.ontoware.org/ontology#keywords methodology
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http://data.semanticuniverse.com/resource/semtech-2009-2111 http://swrc.ontoware.org/ontology#keywords eai
http://data.semanticuniverse.com/resource/semtech-2009-2111 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/felix-van-de-maele
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http://data.semanticuniverse.com/resource/semtech-2009-2111 http://swrc.ontoware.org/ontology#keywords integration
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http://data.semanticuniverse.com/resource/semtech-2009-2111 http://purl.org/dc/elements/1.1/audience Non-Technical
http://data.semanticuniverse.com/resource/semtech-2009-2111 http://purl.org/dc/elements/1.1/audience Business
http://data.semanticuniverse.com/resource/semtech-2009-2111 http://swrc.ontoware.org/ontology#keywords business-semantics-management
http://data.semanticuniverse.com/resource/semtech-2009-2111 http://purl.org/dc/elements/1.1/title Delivering Semantic Integration with Business Semantics Management: a testimonial from the packaging industry
http://data.semanticuniverse.com/resource/dan-mccreary-and-associates http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/net/biblio#Organization
http://data.semanticuniverse.com/resource/dan-mccreary-and-associates http://xmlns.com/foaf/0.1/name Dan McCreary and Associates
http://data.semanticuniverse.com/resource/dan-mccreary-and-associates http://xmlns.com/foaf/0.1/member http://data.semanticuniverse.com/resource/dan-g-mccreary
http://data.semanticuniverse.com/resource/dan-mccreary-and-associates http://www.w3.org/2000/01/rdf-schema#label Dan McCreary and Associates
http://data.semanticuniverse.com/resource/dan-mccreary-and-associates http://xmlns.com/foaf/0.1/name Dan McCreary and Associates
http://data.semanticuniverse.com/resource/dan-mccreary-and-associates http://xmlns.com/foaf/0.1/member http://data.semanticuniverse.com/resource/dan-mccreary
http://data.semanticuniverse.com/resource/dan-mccreary-and-associates http://www.w3.org/2000/01/rdf-schema#label Dan McCreary and Associates
http://data.semanticuniverse.com/resource/semtech-2009-1602 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://data.semanticweb.org/ns/swc/ontology#SessionEvent
http://data.semanticuniverse.com/resource/semtech-2009-1602 http://purl.org/dc/elements/1.1/audience Technology - Intermediate
http://data.semanticuniverse.com/resource/semtech-2009-1602 http://purl.org/dc/elements/1.1/title Active PURLs: Stored Procedures for the Semantic Web
http://data.semanticuniverse.com/resource/semtech-2009-1602 http://swrc.ontoware.org/ontology#keywords rest
http://data.semanticuniverse.com/resource/semtech-2009-1602 http://www.w3.org/2002/12/cal/icaltzd/dtEnd 2009-06-16T15:00:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
http://data.semanticuniverse.com/resource/semtech-2009-1602 http://purl.org/dc/elements/1.1/abstract Active PURLs extend the Persistent URL (PURL) concept. Active PURLs with the SPARQL query language may be used in a manner analogous to stored procedures for relational databases, assisting the creation of semantic mashups.
http://data.semanticuniverse.com/resource/semtech-2009-1602 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/david-wood
http://data.semanticuniverse.com/resource/semtech-2009-1602 http://purl.org/dc/elements/1.1/description Persistent URLs (PURLs) have operated on the Internet since 1995, and were re-architected in 2008. Part of the re-architecture was to add semantic capabilities to PURLs so that metadata descriptions of a resource may be computationally separated from resources themselves. The Open Source community at http://purlz.org maintains and extends the PURL code base. <P> Active PURLs extend the PURL concept. Active PURLs actively participate in the creation or gathering of metadata that describes their target URL. Using principles of Representational State Transfer (REST), implementation details are hidden behind a PURL's URL. This talk will introduce an Active PURL builder that uses the SPARQL query language for RDF. <P> Examples are presented using FOAF ("What are my friends' current telephone numbers?"), Dublin Core/RDFa ("Who authored updates to the Web pages I track?") and GeoNames/SKOS ("Find known places in a postal code", which demonstrates parameterization). <P>
http://data.semanticuniverse.com/resource/semtech-2009-1602 http://data.semanticweb.org/ns/swc/ontology#hasLocation http://data.semanticuniverse.com/resource/regency-ballroom-i
http://data.semanticuniverse.com/resource/semtech-2009-1602 http://swrc.ontoware.org/ontology#keywords sparql
http://data.semanticuniverse.com/resource/semtech-2009-1602 http://www.w3.org/2002/12/cal/icaltzd/dtStart 2009-06-16T14:00:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
http://data.semanticuniverse.com/resource/semtech-2009-1602 http://swrc.ontoware.org/ontology#keywords purl
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http://data.semanticuniverse.com/resource/semtech-2009-1602 http://www.w3.org/2000/01/rdf-schema#label Active PURLs: Stored Procedures for the Semantic Web
http://data.semanticuniverse.com/resource/semtech-2009-1602 http://swrc.ontoware.org/ontology#keywords rdf
http://data.semanticuniverse.com/resource/semtech-2009-1602 http://purl.org/net/biblio#presentedAt http://data.semanticuniverse.com/resource/semtech-2009
http://data.semanticuniverse.com/resource/semtech-2009-1602 http://data.semanticweb.org/ns/swc/ontology#isPartOf http://data.semanticuniverse.com/resource/semtech-2009-data-integration-and-mashups
http://data.semanticuniverse.com/resource/david-booth http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://xmlns.com/foaf/0.1/Person
http://data.semanticuniverse.com/resource/david-booth http://www.w3.org/2000/01/rdf-schema#label David Booth
http://data.semanticuniverse.com/resource/david-booth http://xmlns.com/foaf/0.1/name David Booth
http://data.semanticuniverse.com/resource/david-booth http://xmlns.com/foaf/0.1/depiction http://wmb.skyworld.com/uploads/images/bios/1797.jpg^^http://www.w3.org/2001/XMLSchema#anyURI
http://data.semanticuniverse.com/resource/david-booth http://www.w3.org/2001/vcard-rdf/3.0#title Software Architect
http://data.semanticuniverse.com/resource/david-booth http://www.w3.org/2001/vcard-rdf/3.0#org Independent Contractor
http://data.semanticuniverse.com/resource/shamod-lacoul http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://xmlns.com/foaf/0.1/Person
http://data.semanticuniverse.com/resource/shamod-lacoul http://www.w3.org/2000/01/rdf-schema#label Shamod Lacoul
http://data.semanticuniverse.com/resource/shamod-lacoul http://xmlns.com/foaf/0.1/name Shamod Lacoul
http://data.semanticuniverse.com/resource/shamod-lacoul http://xmlns.com/foaf/0.1/depiction http://wmb.skyworld.com/uploads/images/bios/2156.jpg^^http://www.w3.org/2001/XMLSchema#anyURI
http://data.semanticuniverse.com/resource/shamod-lacoul http://www.w3.org/2001/vcard-rdf/3.0#title Consultant and Semantic Web Evangalist
http://data.semanticuniverse.com/resource/shamod-lacoul http://www.w3.org/2001/vcard-rdf/3.0#org Consulteer
http://data.semanticuniverse.com/resource/george-roth http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://xmlns.com/foaf/0.1/Person
http://data.semanticuniverse.com/resource/george-roth http://www.w3.org/2000/01/rdf-schema#label George Roth
http://data.semanticuniverse.com/resource/george-roth http://xmlns.com/foaf/0.1/name George Roth
http://data.semanticuniverse.com/resource/george-roth http://xmlns.com/foaf/0.1/depiction http://wmb.skyworld.com/uploads/images/bios/1919.jpg^^http://www.w3.org/2001/XMLSchema#anyURI
http://data.semanticuniverse.com/resource/george-roth http://www.w3.org/2001/vcard-rdf/3.0#title President and CEO
http://data.semanticuniverse.com/resource/george-roth http://www.w3.org/2001/vcard-rdf/3.0#org Recognos Inc.
http://data.semanticuniverse.com/resource/semtech-2009-1799 http://swrc.ontoware.org/ontology#keywords life-sciences
http://data.semanticuniverse.com/resource/semtech-2009-1799 http://purl.org/dc/elements/1.1/audience Business
http://data.semanticuniverse.com/resource/semtech-2009-1799 http://purl.org/net/biblio#presentedAt http://data.semanticuniverse.com/resource/semtech-2009
http://data.semanticuniverse.com/resource/semtech-2009-1799 http://swrc.ontoware.org/ontology#keywords faceted-browsing
http://data.semanticuniverse.com/resource/semtech-2009-1799 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/lee-feigenbaum
http://data.semanticuniverse.com/resource/semtech-2009-1799 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://data.semanticweb.org/ns/swc/ontology#SessionEvent
http://data.semanticuniverse.com/resource/semtech-2009-1799 http://purl.org/dc/elements/1.1/abstract Merck Innovation recently completed a Proof of Concept with Cambridge Semantics's Anzo software. This session will demonstrate what was accomplished in the context of immediate tactical and long-term business strategic value.
http://data.semanticuniverse.com/resource/semtech-2009-1799 http://swrc.ontoware.org/ontology#keywords agile
http://data.semanticuniverse.com/resource/semtech-2009-1799 http://swrc.ontoware.org/ontology#keywords excel
http://data.semanticuniverse.com/resource/semtech-2009-1799 http://swrc.ontoware.org/ontology#keywords drug-discovery
http://data.semanticuniverse.com/resource/semtech-2009-1799 http://www.w3.org/2002/12/cal/icaltzd/dtEnd 2009-06-16T08:20:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
http://data.semanticuniverse.com/resource/semtech-2009-1799 http://purl.org/dc/elements/1.1/title Making Sense of Spreadsheets in Merck Basic Research: A Semantic Experience
http://data.semanticuniverse.com/resource/semtech-2009-1799 http://www.w3.org/2002/12/cal/icaltzd/dtStart 2009-06-16T07:30:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
http://data.semanticuniverse.com/resource/semtech-2009-1799 http://swrc.ontoware.org/ontology#keywords spreadsheets
http://data.semanticuniverse.com/resource/semtech-2009-1799 http://www.w3.org/2000/01/rdf-schema#label Making Sense of Spreadsheets in Merck Basic Research: A Semantic Experience
http://data.semanticuniverse.com/resource/semtech-2009-1799 http://purl.org/dc/elements/1.1/description Merck Basic Research has repeatedly heard the promise of Semantic Web technologies to address some of the most daunting problems facing the pharmaceutical industry. Recently, Merck partnered with Cambridge Semantics to explore what tactical business problems can be solved today with semantic technologies while at the same time laying the foundation for a long-term semantic infrastructure. <P> This session will report on the three use cases pursued during a 12-week project: <P> <ol><li>How can assay results, often sitting in arbitrarily structured Excel spreadsheets, be loaded into a Merck basic research database? </li> <li>How can we accelerate research by empowering scientists to register new assays in a self-service fashion?</li> <li>How can we improve internal, ad-hoc, collaborative processes that today depend on a jumble of spreadsheets, emails, and document servers?</li></ol> <P>
http://data.semanticuniverse.com/resource/semtech-2009-1799 http://data.semanticweb.org/ns/swc/ontology#isPartOf http://data.semanticuniverse.com/resource/semtech-2009-industry:-pharmaceutical-health-care
http://data.semanticuniverse.com/resource/semtech-2009-1799 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/jaime-melendez
http://data.semanticuniverse.com/resource/semtech-2009-1799 http://data.semanticweb.org/ns/swc/ontology#hasLocation http://data.semanticuniverse.com/resource/hillsborough
http://data.semanticuniverse.com/resource/semtech-2009-1799 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.w3.org/2002/12/cal/icaltzd/Vevent
http://data.semanticuniverse.com/resource/semtech-2009-1799 http://swrc.ontoware.org/ontology#keywords case-study
http://data.semanticuniverse.com/resource/semtech-2009-1799 http://purl.org/dc/elements/1.1/audience Non-Technical
http://data.semanticuniverse.com/resource/eghosa-omoigui http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://xmlns.com/foaf/0.1/Person
http://data.semanticuniverse.com/resource/eghosa-omoigui http://www.w3.org/2000/01/rdf-schema#label Eghosa Omoigui
http://data.semanticuniverse.com/resource/eghosa-omoigui http://xmlns.com/foaf/0.1/name Eghosa Omoigui
http://data.semanticuniverse.com/resource/eghosa-omoigui http://xmlns.com/foaf/0.1/depiction http://wmb.skyworld.com/uploads/images/bios/483.jpg^^http://www.w3.org/2001/XMLSchema#anyURI
http://data.semanticuniverse.com/resource/eghosa-omoigui http://www.w3.org/2001/vcard-rdf/3.0#title Director, Strategic Investments, Consumer Internet; Semantic Technologies
http://data.semanticuniverse.com/resource/eghosa-omoigui http://www.w3.org/2001/vcard-rdf/3.0#org Intel Capital
http://data.semanticuniverse.com/resource/tony-sarris http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://xmlns.com/foaf/0.1/Person
http://data.semanticuniverse.com/resource/tony-sarris http://www.w3.org/2000/01/rdf-schema#label Tony Sarris
http://data.semanticuniverse.com/resource/tony-sarris http://xmlns.com/foaf/0.1/name Tony Sarris
http://data.semanticuniverse.com/resource/tony-sarris http://xmlns.com/foaf/0.1/depiction http://wmb.skyworld.com/uploads/images/bios/1850.jpg^^http://www.w3.org/2001/XMLSchema#anyURI
http://data.semanticuniverse.com/resource/tony-sarris http://www.w3.org/2001/vcard-rdf/3.0#title Product Owner - Cloud Application Services
http://data.semanticuniverse.com/resource/tony-sarris http://www.w3.org/2001/vcard-rdf/3.0#org Unisys Corporation - Technology, Consulting & Integration Solutions
http://data.semanticuniverse.com/resource/karen-blaedow http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://xmlns.com/foaf/0.1/Person
http://data.semanticuniverse.com/resource/karen-blaedow http://www.w3.org/2000/01/rdf-schema#label Karen Blaedow
http://data.semanticuniverse.com/resource/karen-blaedow http://xmlns.com/foaf/0.1/name Karen Blaedow
http://data.semanticuniverse.com/resource/karen-blaedow http://xmlns.com/foaf/0.1/depiction http://wmb.skyworld.com/uploads/images/bios/604.jpg^^http://www.w3.org/2001/XMLSchema#anyURI
http://data.semanticuniverse.com/resource/karen-blaedow http://www.w3.org/2001/vcard-rdf/3.0#title President
http://data.semanticuniverse.com/resource/karen-blaedow http://www.w3.org/2001/vcard-rdf/3.0#org Custom Technology Ltd.
http://data.semanticuniverse.com/resource/full-capture-solutions-inc http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/net/biblio#Organization
http://data.semanticuniverse.com/resource/full-capture-solutions-inc http://xmlns.com/foaf/0.1/name Full Capture Solutions, Inc.
http://data.semanticuniverse.com/resource/full-capture-solutions-inc http://xmlns.com/foaf/0.1/member http://data.semanticuniverse.com/resource/stephen-holcomb
http://data.semanticuniverse.com/resource/full-capture-solutions-inc http://www.w3.org/2000/01/rdf-schema#label Full Capture Solutions, Inc.
http://data.semanticuniverse.com/resource/semtech-2009-1988 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/leigh-dodds
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http://data.semanticuniverse.com/resource/semtech-2009-1988 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/james-leigh
http://data.semanticuniverse.com/resource/semtech-2009-1988 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/jamie-taylor
http://data.semanticuniverse.com/resource/semtech-2009-1988 http://data.semanticweb.org/ns/swc/ontology#hasLocation http://data.semanticuniverse.com/resource/regency-ballroom-ii
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http://data.semanticuniverse.com/resource/semtech-2009-1988 http://www.w3.org/2000/01/rdf-schema#label Panel: Linked Open Data
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http://data.semanticuniverse.com/resource/semtech-2009-1988 http://purl.org/dc/elements/1.1/audience Technology - Introductory
http://data.semanticuniverse.com/resource/semtech-2009-1988 http://swrc.ontoware.org/ontology#keywords open-data
http://data.semanticuniverse.com/resource/semtech-2009-1988 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/paul-miller
http://data.semanticuniverse.com/resource/semtech-2009-1988 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.w3.org/2002/12/cal/icaltzd/Vevent
http://data.semanticuniverse.com/resource/semtech-2009-1988 http://www.w3.org/2002/12/cal/icaltzd/dtEnd 2009-06-16T16:15:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
http://data.semanticuniverse.com/resource/semtech-2009-1988 http://purl.org/dc/elements/1.1/title Panel: Linked Open Data
http://data.semanticuniverse.com/resource/semtech-2009-1988 http://purl.org/dc/elements/1.1/description The "data commons" is a cornerstone of the semantic web vision. The Linked and Open Data movements are progressing beyond the early adopter phase and preparing to cross the chasm. Enough experience now exists to reflect on how this data set is being used, how useful it is, and where we can take it from here. Beyond the basics, the panel will discuss issues such as quality of service, stability, and longevity. They'll also explore the evolution of the semantic web with a particular emphasis on modes of data use, reuse and aggregation. <P>
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http://data.semanticuniverse.com/resource/aaron-barnett http://www.w3.org/2000/01/rdf-schema#label Aaron Barnett
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http://data.semanticuniverse.com/resource/semtech-2009-1781 http://purl.org/dc/elements/1.1/abstract We examine possibilities for combining Common Logic expressivity with the scalability of an RDF store. Our goal is increase representational and inference capabilities while scaling to billions of triples.
http://data.semanticuniverse.com/resource/semtech-2009-1781 http://purl.org/dc/elements/1.1/title How Common Logic Can Enhance RDF/OWL
http://data.semanticuniverse.com/resource/semtech-2009-1781 http://purl.org/dc/elements/1.1/description The advantages of a Common Logic-based language include expressive power, a clean, extensible syntax, a model-theoretic semantics, and an open-minded approach to closed-world reasoning. A primary goal is to achieve scalable logical inference over a dynamic fact base. While RDF quads stores are designed for scalability, expressive logics are inherently non-scalable, and severe trade-offs must be made to achieve reasoning over billions of statements. In this talk we focus on "sweet spots", a sweet spot being a language subset that supports sound and complete reasoning while being at least moderately scalable. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1970 http://purl.org/dc/elements/1.1/title T3: REST and Resource-Oriented Architecture
http://data.semanticuniverse.com/resource/semtech-2009-1970 http://purl.org/dc/elements/1.1/abstract There is tremendous interest in REpresentational State Transfer (REST) as an architectural style for building scalable, flexible, information-driven architectures in the Enterprise. The success of the Web has caught our attention in the face of increased complexity and many failures with more traditional Web Services technologies. The problem is that it is difficult to sell a way to do things.
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http://data.semanticuniverse.com/resource/semtech-2009-1970 http://purl.org/dc/elements/1.1/description There is tremendous interest in REpresentational State Transfer (REST) as an architectural style for building scalable, flexible, information-driven architectures in the Enterprise. The success of the Web has caught our attention in the face of increased complexity and many failures with more traditional Web Services technologies. The problem is that it is difficult to sell a way to do things. Managers want to understand why they should deviate from the blue prints laid down by the industry leaders; when they should use REST; when they should use SOAP; and when they might fallback to regular old Java-based messaging. They want to make business-based technology decisions that lay a path to forward progress rather than paying for technological flux. This workshop will address these questions as well as the technical details for designing, building and consuming RESTful services within and outside of organizational boundaries. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1472 http://purl.org/dc/elements/1.1/title A Semantic Architecture for Biologics Research at Merck
http://data.semanticuniverse.com/resource/semtech-2009-1472 http://www.w3.org/2000/01/rdf-schema#label A Semantic Architecture for Biologics Research at Merck
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http://data.semanticuniverse.com/resource/semtech-2009-1472 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/jaime-melendez
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http://data.semanticuniverse.com/resource/semtech-2009-1472 http://purl.org/dc/elements/1.1/description Discovery Research is more often than not an inexact process involving novel techniques and new modes of biological reasoning. The utilization of semantic technologies has enabled the creation of a domain information model (ontology) and provided a facile mechanism to combine data from multiple sources into a single integrated knowledge base. By providing an integrated knowledge base, concept based search and visual navigation are applied seamlessly integrating data store resulting in an improved search precision and expressiveness - thus providing the ability to analyze data from information contained in different repositories. The integration of data is critical in order to provide insight into the quality and targets associated with the collection of assay information. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1472 http://swrc.ontoware.org/ontology#keywords pharmaceutical-r&d
http://data.semanticuniverse.com/resource/semtech-2009-1472 http://purl.org/dc/elements/1.1/abstract A flexible Semantic Web information system supporting complex data models, faceted querying, and enterprise data relations has been designed and prototyped for researchers of Biologics Discovery.
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http://data.semanticuniverse.com/resource/semtech-2009-1693 http://www.w3.org/2000/01/rdf-schema#label Semantic Technology Industry Analysis - Review of Semantic Integration Market Segment
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http://data.semanticuniverse.com/resource/semtech-2009-1693 http://purl.org/dc/elements/1.1/description The Semantic Integration market segment is one that has evolved from traditional integration companies that have adopted semantic technologies and some niche start-ups with semantic technology differentiators. The technologies in the market segment provide the capability to integrate information across disparate data sources. The products/vendors in this market segment focus on standards, such as RDF/OWL, to represent models used to mediate data sources. <P> The presenter is currently working on large scale semantic integration projects for Federal Government customers, specifically tactical intelligence programs. This session provides a summary of this market segment. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1693 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/steve-hamby
http://data.semanticuniverse.com/resource/semtech-2009-1693 http://purl.org/dc/elements/1.1/abstract This session will provide technologists and managers an overview of the semantic integration market, and serves as a starting point in the due diligence process in determining value of the technology in this market and the available vendors/products.
http://data.semanticuniverse.com/resource/semtech-2009-1693 http://purl.org/dc/elements/1.1/title Semantic Technology Industry Analysis - Review of Semantic Integration Market Segment
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http://data.semanticuniverse.com/resource/semtech-2009-2124 http://www.w3.org/2000/01/rdf-schema#label SPIN: An object-oriented framework for business rules using SPARQL
http://data.semanticuniverse.com/resource/semtech-2009-2124 http://purl.org/dc/elements/1.1/abstract I will show how to use SPARQL to define business rules and introduce SPIN as a framework of best practices for doing so.
http://data.semanticuniverse.com/resource/semtech-2009-2124 http://purl.org/dc/elements/1.1/description Real-world applications that operate on linked data models typically need higher expressivity than what is provided by OWL and RDF Schema alone. SPIN is an open-source framework that supports the use of SPARQL to define business rules and constraint checks on Semantic Web models with object-oriented modeling techniques. This simple yet powerful mechanism makes it possible to define self-describing domain models that can then be used by generic software components such as user interface renderers, schema mappers and workflow engines. Instead of hard-coding behavior in languages like Java, SPIN makes it possible to declaratively define complex business rules and processes. SPIN can also be used to define new higher-level modeling languages with built-in semantics. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-2124 http://purl.org/dc/elements/1.1/title SPIN: An object-oriented framework for business rules using SPARQL
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http://data.semanticuniverse.com/resource/semtech-2009-1661 http://purl.org/dc/elements/1.1/abstract Introduce the effort in the field of Cultural and Natural Heritage Management to use Semantic Web technologies to enable efficient data management for semantically rich data networks on the Web.
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http://data.semanticuniverse.com/resource/semtech-2009-1661 http://purl.org/dc/elements/1.1/title The Semantic Museum - Cultural and Natural Heritage Management on the Semantic Web
http://data.semanticuniverse.com/resource/semtech-2009-1661 http://purl.org/dc/elements/1.1/description semuse.org is an open and collaborative community based project to work on the Semantic Museum, and envision the future of applied cultural and natural heritage management (CNHM). The emerging Semantic Web provides a fertile ground for work with a long tradition in professional information science. The future collection and management of artifacts on the web will be well supported by the emerging Semantic Web. The rich semantic interrelationship and narrative structuring of events, actors and locations that is developed for such environments requires a technology such as the Semantic Web to efficiently support CNHM. The professional and public sharing of CNH online resources with global identification will lead to global network effects. This will leverage the creation of global and meaningful resources for knowledge management and educational events in CNH organizations. This is the beginning of a new information ecosystem that provides an opportunity to envision new CNHM practices. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1559 http://purl.org/dc/elements/1.1/abstract Products that connect to large sets of typical Organizational data (e.g. Oracle and multiple spreadsheets), giving entirely graphical approach to Semantic Query via automatically generated Ontologies.
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http://data.semanticuniverse.com/resource/semtech-2009-1559 http://purl.org/dc/elements/1.1/description Our experience in enterprise data integration over many years has taught us that for a new technology such as the Semantic Web to succeed, we need a solution offering zero programming to implement; we deem this an essential prerequisite for mainstream adoption. We have built such a solution and show it in action providing a query-able interface to some 300+ Environmental Protection Agency spreadsheets and Oracle RDBMS. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1559 http://purl.org/dc/elements/1.1/title Real World Semantic Query of Organizational Data
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http://data.semanticuniverse.com/resource/semtech-2009-1850 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/dean-allemang
http://data.semanticuniverse.com/resource/semtech-2009-1850 http://www.w3.org/2000/01/rdf-schema#label Deploying Solutions using TopBraid Suite
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http://data.semanticuniverse.com/resource/semtech-2009-1850 http://swrc.ontoware.org/ontology#keywords model-based-applications
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http://data.semanticuniverse.com/resource/semtech-2009-1850 http://purl.org/dc/elements/1.1/description The TopBraid Suite provides full life-cycle support for Designing, Assembling and Depolying semantic web solutions. In this hands-on course, students will create a small semantic web application for vocabulary management based on SKOS. Students will experience all three phases, in which they design the application data architecture using TopBraid Composer, assemble the application, including the interaction structure, using TopBraid Ensemble, and testing deployment via the TopBraid Live developer's environment. The role of model-driven application development as it applies to the semantic web will be illustrated and highlighted. The course concludes with presentations and discussions about how to extend the component framework for custom applications that go beyond the built-in components of the TopBraid Suite.</p> <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1748 http://purl.org/dc/elements/1.1/abstract We present the Market Blended Insight project, and its industrial scale SW application that supports and informs B2B marketing activities by integrating heterogeneous business information to determine propensity to buy.
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http://data.semanticuniverse.com/resource/semtech-2009-1748 http://purl.org/dc/elements/1.1/description The Market Blended Insight (MBI) project aims to improve the performance of UK B2B marketing activities by exploiting heterogeneous business information with rich semantics to allow the accurate targeting of sales propositions to prospective buyers. The determination of a prospect's propensity to buy is key to this goal; the widespread availability of business information on the Web makes it possible to build a comprehensive picture of business activities, which can be leveraged to provide deeper insight into an organization's interest in a given sales proposition. MBI has used Semantic Web technologies to build an industrial scale prototype which aggregates business information and models the activities of business organizations. The project has developed sophisticated semantic search and navigation tools that allow users to perform fine-grained segmentations of potential customers, and to analyze and visualize value chain information in order to evaluate propensity to buy. <P>
http://data.semanticuniverse.com/resource/semtech-2009-2050 http://www.w3.org/2000/01/rdf-schema#label Panel: Can Semantics Solve the Integrated Medical Records Challenge?
http://data.semanticuniverse.com/resource/semtech-2009-2050 http://purl.org/dc/elements/1.1/title Panel: Can Semantics Solve the Integrated Medical Records Challenge?
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http://data.semanticuniverse.com/resource/semtech-2009-2050 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/chris-pierce
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http://data.semanticuniverse.com/resource/semtech-2009-2050 http://purl.org/dc/elements/1.1/description Integrated electronic medical records are a strategic imperative on the agenda of the Obama Administration. The goals are to improve service quality and significantly reduce healthcare administrative costs over the long term. Can semantic technologies help to solve this complex and huge challenge? The fundamental integration capability is there, but can semantics help with the other intractible problems such as scale, security and privacy? <P>
http://data.semanticuniverse.com/resource/semtech-2009-2050 http://swrc.ontoware.org/ontology#keywords medical-records
http://data.semanticuniverse.com/resource/semtech-2009-2050 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/parsa-mirhaji
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http://data.semanticuniverse.com/resource/semtech-2009-2050 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/jerry-scott
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http://data.semanticuniverse.com/resource/semtech-2009-2050 http://purl.org/dc/elements/1.1/abstract How can semantic technologies contribute solutions to the challenge of integrating electronic medical records?
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http://data.semanticuniverse.com/resource/semtech-2009-1730 http://purl.org/dc/elements/1.1/abstract Semantic Search is often linked with RDF interpretation in the Semantic Web community; but understanding the meaning of unstructured text should be the ultimate goal.
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http://data.semanticuniverse.com/resource/semtech-2009-1730 http://purl.org/dc/elements/1.1/description Semantic Search technology in the Semantic Web community is often understood as retrieval of knowledge from tagged data such as RDF sources, which require substantial formatting and markup to realize. Understanding unstructured query and document text and conducting searches according to their meaning is another approach, exemplified by linguistically rooted semantic matching, ontological knowledge-based semantic interpretation, and statistically based semantic similarity search. <P> This panel will look at different ways to tackle semantic search as a problem of text understanding. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1485 http://purl.org/dc/elements/1.1/title A Tourism Geo-spatial Mashup Based on Semantic Web Technologies
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http://data.semanticuniverse.com/resource/semtech-2009-1485 http://purl.org/dc/elements/1.1/abstract Explain the use of information integration in Mexican tourism, based on OWL-Ontologies and Mashups.
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http://data.semanticuniverse.com/resource/semtech-2009-1485 http://purl.org/dc/elements/1.1/description The work is focused on developing a web application-oriented tourism (Accommodation sector) at the beach in Acapulco, Mexico. The information is stored in a geographic ontology that describes tourism services such as lodging and entertainment. This ontology is written by the language OWL, and would solve queries such as "hotels with a restaurant and a bar in Acapulco." We propose a module search based on SPARQL and a web application hybrid (mashup) that combines the functionality of Geonames and Google maps. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-2137 http://purl.org/dc/elements/1.1/abstract Learn how how enterprise scalable applications based on semantic technology can be developed and deployed in less than a week.
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http://data.semanticuniverse.com/resource/semtech-2009-2137 http://purl.org/dc/elements/1.1/title Enterprise Scalable Semantic Solutions in Five Days
http://data.semanticuniverse.com/resource/semtech-2009-2137 http://purl.org/dc/elements/1.1/description Learn to build enterprise scalable semantic technology solutions in less than a week. It's one thing to link your systems to a semantic platform, it's another thing all together to actually do something useful with it and roll it out enterprise wide. Cambridge Semantics is taking semantic technology to a new level of practicality and usability for enterprise-scale applications. Its new suite of tools enables non-technical users with minimal training to link data in spreadsheets and relational databases to a semantic fabric, create ontologies on the fly and easily visualize combinations of information from multiple sources. Not simple proof-of-concept applications, but fully scalable, enterprise-class systems that can be built and deployed in less than five days. <P> In this hour session, team members from Cambridge Semantics will demonstrate the ability to build practical enterprise solutions quickly and easily with the Anzo product suite. <P> This demonstration will include: <ul><li>Linking spreadsheet data to a semantic fabric</li> <li>Creating ontologies on the fly</li> <li>Visualizing data from combined data sets</li> </ul> <P>
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http://data.semanticuniverse.com/resource/semtech-2009-2105 http://purl.org/dc/elements/1.1/description The Web is getting smarter and more intelligent as we pushing the technologies to the next level. This distinguished panel of companies will present their exciting semantic and NLP technologies that are contributing to the buildup of the web intelligence, one of the most significant hallmarks of the next generation web. The audience will learn where semantic technologies are making impact and what tools are available to use. In the second half of the session, the audience will have chance to participate in the discussion of what new market opportunities are emerging given the growing intelligence of the web. <P> The panel will be focused on the following intelligent web applications powered by NLP and semantic technologies: <ul> <li>Smart online publishing and blogging with semantics</li> <li>Social networking with assistance from automatic natural language processing</li> <li>Question and Answer system on the web using NLP and semantic technologies</li> <li>Gaining market intelligence from web conversation</li> <li>Online advertising platform powered by semantic analysis</li> </ul> <P> <strong>Agenda:</strong> <ul> <li>5:00-7:00 pm Semtech conference exhibition</li> <li>6:30-7:00 pm registration and networking</li> <li>7:00-8:00 pm short presentation from panelists</li> <li>8:00-9:00 pm Q&A</li> </ul> <P> <strong>Price:</strong> $15 at the door. Free for SDForum members and SemTech Conference attendees. No pre-registration required. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1586 http://purl.org/dc/elements/1.1/description Both generalized web search engines and discipline-specific bibliographic databases will need to evolve to remain competitive &#45;&#45; comprehensive and authoritative &#45; in the discovery of scholarly literature. Initiatives such as Google Scholar and Microsoft Academic-live Search acknowledge the importance of specialization in searching for scholarly literature, and rising expectations of comprehensive access require that discipline-specific databases increase coverage. By following models of open collaboration in Web 2.0 and applying thesauri in the ontology of the Semantic Web, producers of discipline-specific databases can apply existing knowledge bases not only to expand coverage and maximize discovery of scholarly literature but also to foster interdisciplinarity. A strategy for leveraging primary assets of a specialized database &#45;&#45; discipline-specific partnerships, expert abstracts and indexing, and discipline-specific thesauri &#45;&#45; serves as a case study. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1586 http://purl.org/dc/elements/1.1/abstract The talk elucidates the potential of cross-disciplinary ontologies in the Semantic Web with an intuitively compelling example of the "prescience of artists and the art of science" &#45; neuroaesthetics.
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http://data.semanticuniverse.com/resource/semtech-2009-1996 http://www.w3.org/2000/01/rdf-schema#label Mobile Semantics
http://data.semanticuniverse.com/resource/semtech-2009-1996 http://purl.org/dc/elements/1.1/audience Non-Technical
http://data.semanticuniverse.com/resource/semtech-2009-1996 http://swrc.ontoware.org/ontology#keywords mobile
http://data.semanticuniverse.com/resource/semtech-2009-1996 http://data.semanticweb.org/ns/swc/ontology#hasLocation http://data.semanticuniverse.com/resource/crystal
http://data.semanticuniverse.com/resource/semtech-2009-1996 http://purl.org/dc/elements/1.1/description Every day millions of cellular bills are generated and billions of calls take place, and yet nobody has any information other than the number that was dialed. Also, users are doing more and more on their mobile devices. The opportunities for mobile semantics are huge, starting with practical applications such as tagging of calls to make a better bill, extending all the way to semantic allocation of mobile activity for purposes such as mobile advertising and data mining by the * What do today's carriers and handset manufacturers think of mobile semantic tagging? * What business models exist and which ones can the industry shape? * What technological advancements have made this possible and what will the industry need to do in the future to leverage mobile tagging? * will mobile be the ultimate semantic battleground? <P>
http://data.semanticuniverse.com/resource/the-cloud-of-data http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/net/biblio#Organization
http://data.semanticuniverse.com/resource/the-cloud-of-data http://xmlns.com/foaf/0.1/name The Cloud of Data
http://data.semanticuniverse.com/resource/the-cloud-of-data http://xmlns.com/foaf/0.1/member http://data.semanticuniverse.com/resource/paul-miller
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http://data.semanticuniverse.com/resource/stanford-university http://xmlns.com/foaf/0.1/name Stanford University
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http://data.semanticuniverse.com/resource/stanford-university http://www.w3.org/2000/01/rdf-schema#label Stanford University
http://data.semanticuniverse.com/resource/stanford-university http://xmlns.com/foaf/0.1/member http://data.semanticuniverse.com/resource/mark-musen
http://data.semanticuniverse.com/resource/stanford-university http://xmlns.com/foaf/0.1/member http://data.semanticuniverse.com/resource/tania-tudorache
http://data.semanticuniverse.com/resource/stanford-university http://xmlns.com/foaf/0.1/member http://data.semanticuniverse.com/resource/timothy-redmond
http://data.semanticuniverse.com/resource/custom-technology-ltd http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/net/biblio#Organization
http://data.semanticuniverse.com/resource/custom-technology-ltd http://xmlns.com/foaf/0.1/name Custom Technology Ltd.
http://data.semanticuniverse.com/resource/custom-technology-ltd http://xmlns.com/foaf/0.1/member http://data.semanticuniverse.com/resource/karen-blaedow
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http://data.semanticuniverse.com/resource/kunal-verma http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://xmlns.com/foaf/0.1/Person
http://data.semanticuniverse.com/resource/kunal-verma http://www.w3.org/2000/01/rdf-schema#label Kunal Verma
http://data.semanticuniverse.com/resource/kunal-verma http://xmlns.com/foaf/0.1/name Kunal Verma
http://data.semanticuniverse.com/resource/kunal-verma http://xmlns.com/foaf/0.1/depiction http://wmb.skyworld.com/uploads/images/bios/2052.jpg^^http://www.w3.org/2001/XMLSchema#anyURI
http://data.semanticuniverse.com/resource/kunal-verma http://www.w3.org/2001/vcard-rdf/3.0#title Research Manager
http://data.semanticuniverse.com/resource/kunal-verma http://www.w3.org/2001/vcard-rdf/3.0#org Accenture Technology Labs
http://data.semanticuniverse.com/resource/university-of-california-san-diego http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/net/biblio#Organization
http://data.semanticuniverse.com/resource/university-of-california-san-diego http://xmlns.com/foaf/0.1/name University of California, San Diego
http://data.semanticuniverse.com/resource/university-of-california-san-diego http://xmlns.com/foaf/0.1/member http://data.semanticuniverse.com/resource/chris-frymann
http://data.semanticuniverse.com/resource/university-of-california-san-diego http://www.w3.org/2000/01/rdf-schema#label University of California, San Diego
http://data.semanticuniverse.com/resource/semtech-2009-1964 http://purl.org/dc/elements/1.1/description While much of the Semantic Web is focused upon querying of existing semantic content, ultimately one of the most effective strategies for capturing such semantics in the first place is to build semantic tools into the publishing process. In this half-day tutorial, O'Reilly author and editor Kurt Cagle explores platforms and techniques for Semantic Publishing systems, and shows how such systems will significantly enhance the capabilities of web (and print) publishers to make their content both accessible and meaningful. <P> <ul><li>Building RESTful Publishing Services</li> <li>Using Syndication (and Twitter!) to Carry Semantics</li> <li>Document Enrichment with RDFa and OpenCalais</li> <li>Drupal Navigation, Taxonomy and Views</li> <li>The Convergence of Linked Data and Super Data (XBRL, HL7v3, etc.)</li> <li>Semantic Publishing Strategies</li> </ul> <P>
http://data.semanticuniverse.com/resource/semtech-2009-1964 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/kurt-alan-cagle
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http://data.semanticuniverse.com/resource/semtech-2009-1964 http://purl.org/dc/elements/1.1/audience Technology - Introductory
http://data.semanticuniverse.com/resource/semtech-2009-1964 http://data.semanticweb.org/ns/swc/ontology#isPartOf http://data.semanticuniverse.com/resource/semtech-2009-semantic-web
http://data.semanticuniverse.com/resource/semtech-2009-1964 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://data.semanticweb.org/ns/swc/ontology#TutorialEvent
http://data.semanticuniverse.com/resource/semtech-2009-1964 http://purl.org/net/biblio#presentedAt http://data.semanticuniverse.com/resource/semtech-2009
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http://data.semanticuniverse.com/resource/semtech-2009-1964 http://data.semanticweb.org/ns/swc/ontology#hasLocation http://data.semanticuniverse.com/resource/hillsborough
http://data.semanticuniverse.com/resource/semtech-2009-1964 http://purl.org/dc/elements/1.1/abstract While much of the Semantic Web is focused upon querying of existing semantic content, ultimately one of the most effective strategies for capturing such semantics in the first place is to build semantic tools into the publishing process.
http://data.semanticuniverse.com/resource/semtech-2009-1964 http://purl.org/dc/elements/1.1/title T9: Semantic Publishing
http://data.semanticuniverse.com/resource/semtech-2009-1964 http://www.w3.org/2002/12/cal/icaltzd/dtEnd 2009-06-15T16:45:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
http://data.semanticuniverse.com/resource/semtech-2009-1964 http://data.semanticweb.org/ns/swc/ontology#isPartOf http://data.semanticuniverse.com/resource/semtech-2009-new-products-and-companies
http://data.semanticuniverse.com/resource/semtech-2009-1964 http://www.w3.org/2000/01/rdf-schema#label T9: Semantic Publishing
http://data.semanticuniverse.com/resource/semtech-2009-1711 http://swrc.ontoware.org/ontology#keywords icom
http://data.semanticuniverse.com/resource/semtech-2009-1711 http://swrc.ontoware.org/ontology#keywords km
http://data.semanticuniverse.com/resource/semtech-2009-1711 http://data.semanticweb.org/ns/swc/ontology#hasLocation http://data.semanticuniverse.com/resource/garden
http://data.semanticuniverse.com/resource/semtech-2009-1711 http://purl.org/dc/elements/1.1/audience Technology - Intermediate
http://data.semanticuniverse.com/resource/semtech-2009-1711 http://purl.org/net/biblio#presentedAt http://data.semanticuniverse.com/resource/semtech-2009
http://data.semanticuniverse.com/resource/semtech-2009-1711 http://swrc.ontoware.org/ontology#keywords standards
http://data.semanticuniverse.com/resource/semtech-2009-1711 http://www.w3.org/2000/01/rdf-schema#label Integrated Collaboration Object Model (ICOM)
http://data.semanticuniverse.com/resource/semtech-2009-1711 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.w3.org/2002/12/cal/icaltzd/Vevent
http://data.semanticuniverse.com/resource/semtech-2009-1711 http://purl.org/dc/elements/1.1/description OASIS Integrated Collaboration Object Model for Interoperable Collaboration Services Technical Committee will standardize the collaboration objects and ontology for a wide range of collaboration activities to facilitate interoperable integrated collaboration environments in the global network communities. In this talk, we will present the works of the OASIS ICOM TC. <P>
http://data.semanticuniverse.com/resource/semtech-2009-1711 http://purl.org/dc/elements/1.1/title Integrated Collaboration Object Model (ICOM)
http://data.semanticuniverse.com/resource/semtech-2009-1711 http://www.w3.org/2002/12/cal/icaltzd/dtEnd 2009-06-17T08:20:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
http://data.semanticuniverse.com/resource/semtech-2009-1711 http://data.semanticweb.org/ns/swc/ontology#isPartOf http://data.semanticuniverse.com/resource/semtech-2009-social-networks-and-collaboration
http://data.semanticuniverse.com/resource/semtech-2009-1711 http://www.w3.org/2002/12/cal/icaltzd/dtStart 2009-06-17T07:30:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
http://data.semanticuniverse.com/resource/semtech-2009-1711 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/eric-s-chan
http://data.semanticuniverse.com/resource/semtech-2009-1711 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://data.semanticweb.org/ns/swc/ontology#ConferenceEvent
http://data.semanticuniverse.com/resource/semtech-2009-1711 http://swrc.ontoware.org/ontology#keywords interoperability
http://data.semanticuniverse.com/resource/semtech-2009-1711 http://swrc.ontoware.org/ontology#keywords collaboration
http://data.semanticuniverse.com/resource/semtech-2009-1711 http://swrc.ontoware.org/ontology#keywords oasis
http://data.semanticuniverse.com/resource/semtech-2009-1711 http://swrc.ontoware.org/ontology#keywords ontology
http://data.semanticuniverse.com/resource/semtech-2009-1711 http://swrc.ontoware.org/ontology#keywords enterprises
http://data.semanticuniverse.com/resource/semtech-2009-1711 http://swrc.ontoware.org/ontology#keywords workspaces
http://data.semanticuniverse.com/resource/semtech-2009-1711 http://swrc.ontoware.org/ontology#keywords communities
http://data.semanticuniverse.com/resource/semtech-2009-1711 http://purl.org/dc/elements/1.1/abstract Present the proposed OASIS ICOM TC's work on standardizing the model and ontology for a broad range of collaboration activities.
http://data.semanticuniverse.com/resource/semtech-2009-1711 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/stefan-decker
http://data.semanticuniverse.com/resource/semtech-2009-2118 http://swrc.ontoware.org/ontology#keywords web
http://data.semanticuniverse.com/resource/semtech-2009-2118 http://data.semanticweb.org/ns/swc/ontology#isPartOf http://data.semanticuniverse.com/resource/semtech-2009-semantic-applications
http://data.semanticuniverse.com/resource/semtech-2009-2118 http://swrc.ontoware.org/ontology#keywords parliament
http://data.semanticuniverse.com/resource/semtech-2009-2118 http://data.semanticweb.org/ns/swc/ontology#hasLocation http://data.semanticuniverse.com/resource/crystal
http://data.semanticuniverse.com/resource/semtech-2009-2118 http://purl.org/dc/elements/1.1/abstract BBN Technologies has been active in the Semantic Web since the DARPA Agent Markup Language (DAML) program in 2000, developing a variety of Semantic Web tools and applications for government and commercial customers. This talk will present recent use of Semantic Web technology to address the expanding volume and variety of data confronting all enterprises in today's rapidly evolving information environment, which we call Digital Whitewater.
http://data.semanticuniverse.com/resource/semtech-2009-2118 http://data.semanticweb.org/ns/swc/ontology#isPartOf http://data.semanticuniverse.com/resource/semtech-2009-systems-integration
http://data.semanticuniverse.com/resource/semtech-2009-2118 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://data.semanticweb.org/ns/swc/ontology#ConferenceEvent
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http://data.semanticuniverse.com/resource/semtech-2009-2118 http://www.w3.org/2002/12/cal/icaltzd/dtEnd 2009-06-17T10:45:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
http://data.semanticuniverse.com/resource/semtech-2009-2118 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.w3.org/2002/12/cal/icaltzd/Vevent
http://data.semanticuniverse.com/resource/semtech-2009-2118 http://swrc.ontoware.org/ontology#keywords semantic
http://data.semanticuniverse.com/resource/semtech-2009-2118 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/john-hebeler
http://data.semanticuniverse.com/resource/semtech-2009-2118 http://www.w3.org/2002/12/cal/icaltzd/dtStart 2009-06-17T10:15:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
http://data.semanticuniverse.com/resource/semtech-2009-2118 http://purl.org/net/biblio#presentedAt http://data.semanticuniverse.com/resource/semtech-2009
http://data.semanticuniverse.com/resource/semtech-2009-2118 http://purl.org/dc/elements/1.1/title Semantic Web @ BBN: Application to the Digital Whitewater Challenge
http://data.semanticuniverse.com/resource/semtech-2009-2118 http://purl.org/dc/elements/1.1/description This talk will present recent use of Semantic Web technology to address the expanding volume and variety of data confronting all enterprises in today's rapidly evolving information environment, which we call Digital Whitewater. <P>
http://data.semanticuniverse.com/resource/semtech-2009-2118 http://data.semanticweb.org/ns/swc/ontology#isPartOf http://data.semanticuniverse.com/resource/semtech-2009-knowledge-engineering-and-management
http://data.semanticuniverse.com/resource/semtech-2009-2118 http://purl.org/dc/elements/1.1/audience Non-Technical
http://data.semanticuniverse.com/resource/semtech-2009-2118 http://swrc.ontoware.org/ontology#keywords asio
http://data.semanticuniverse.com/resource/semtech-2009-2118 http://www.w3.org/2000/01/rdf-schema#label Semantic Web @ BBN: Application to the Digital Whitewater Challenge
http://data.semanticuniverse.com/resource/semtech-2009-2118 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/mike-dean
http://data.semanticuniverse.com/resource/semtech-2009-2118 http://purl.org/dc/elements/1.1/audience Business
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http://data.semanticuniverse.com/resource/semtech-2009-2118 http://swrc.ontoware.org/ontology#keywords integration
http://data.semanticuniverse.com/resource/semtech-2009-2118 http://swrc.ontoware.org/ontology#keywords applications
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http://data.semanticuniverse.com/resource/semtech-2009-1609 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://data.semanticweb.org/ns/swc/ontology#SessionEvent
http://data.semanticuniverse.com/resource/semtech-2009-1609 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/paul-wlodarczyk
http://data.semanticuniverse.com/resource/semtech-2009-1609 http://swrc.ontoware.org/ontology#keywords social-tagging
http://data.semanticuniverse.com/resource/semtech-2009-1609 http://www.w3.org/2000/01/rdf-schema#label Hybrid Approaches to Taxonomy&amp;Folksonomy
http://data.semanticuniverse.com/resource/semtech-2009-1609 http://purl.org/net/biblio#presentedAt http://data.semanticuniverse.com/resource/semtech-2009
http://data.semanticuniverse.com/resource/semtech-2009-1609 http://purl.org/dc/elements/1.1/abstract Learn how social tagging is not necessarily anathema to corporate taxonomy programs and how this hybrid approach can merge flexibility, freshness and structure.
http://data.semanticuniverse.com/resource/semtech-2009-1609 http://purl.org/dc/elements/1.1/audience Non-Technical
http://data.semanticuniverse.com/resource/semtech-2009-1609 http://purl.org/dc/elements/1.1/description This session will present hybrid approaches to formal taxonomies and social tagging. How can they be used in the corporate environment? What type of content is appropriate for social tagging? What kind of software is available for the enterprise? Learn how social tagging is not necessarily anathema to corporate taxonomy programs and how this hybrid approach can bring the best of both worlds: a fresh, up to date taxonomy with the structure needed to improve information findability. <P>
http://data.semanticuniverse.com/resource/semtech-2009-1609 http://data.semanticweb.org/ns/swc/ontology#isPartOf http://data.semanticuniverse.com/resource/semtech-2009-taxonomies
http://data.semanticuniverse.com/resource/semtech-2009-1609 http://www.w3.org/2002/12/cal/icaltzd/dtStart 2009-06-17T14:30:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
http://data.semanticuniverse.com/resource/semtech-2009-1609 http://www.w3.org/2002/12/cal/icaltzd/dtEnd 2009-06-17T15:30:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
http://data.semanticuniverse.com/resource/semtech-2009-1609 http://purl.org/dc/elements/1.1/audience Business
http://data.semanticuniverse.com/resource/semtech-2009-1609 http://swrc.ontoware.org/ontology#keywords folksonomy
http://data.semanticuniverse.com/resource/semtech-2009-1609 http://swrc.ontoware.org/ontology#keywords taxonomy
http://data.semanticuniverse.com/resource/semtech-2009-1609 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.w3.org/2002/12/cal/icaltzd/Vevent
http://data.semanticuniverse.com/resource/semtech-2009-1609 http://purl.org/dc/elements/1.1/title Hybrid Approaches to Taxonomy&amp;Folksonomy
http://data.semanticuniverse.com/resource/semtech-2009-1609 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/richard-beatch
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http://data.semanticuniverse.com/resource/elisa-kendall http://xmlns.com/foaf/0.1/name Elisa Kendall
http://data.semanticuniverse.com/resource/elisa-kendall http://xmlns.com/foaf/0.1/depiction http://wmb.skyworld.com/uploads/images/bios/227.jpg^^http://www.w3.org/2001/XMLSchema#anyURI
http://data.semanticuniverse.com/resource/elisa-kendall http://www.w3.org/2001/vcard-rdf/3.0#title Partner
http://data.semanticuniverse.com/resource/elisa-kendall http://www.w3.org/2001/vcard-rdf/3.0#org Thematix LLC
http://data.semanticuniverse.com/resource/semtech-2009-1655 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.w3.org/2002/12/cal/icaltzd/Vevent
http://data.semanticuniverse.com/resource/semtech-2009-1655 http://purl.org/dc/elements/1.1/audience Technology - Introductory
http://data.semanticuniverse.com/resource/semtech-2009-1655 http://swrc.ontoware.org/ontology#keywords rdbms
http://data.semanticuniverse.com/resource/semtech-2009-1655 http://www.w3.org/2000/01/rdf-schema#label Building Enterprise Applications With Oracle Database 11g Semantic Technologies
http://data.semanticuniverse.com/resource/semtech-2009-1655 http://swrc.ontoware.org/ontology#keywords inference
http://data.semanticuniverse.com/resource/semtech-2009-1655 http://purl.org/dc/elements/1.1/abstract This talk discusses how to build enterprise-scale semantic applications with Oracle Database Semantic Technologies, including discussion of best practices and plans for powerful new inference capabilities.
http://data.semanticuniverse.com/resource/semtech-2009-1655 http://purl.org/net/biblio#presentedAt http://data.semanticuniverse.com/resource/semtech-2009
http://data.semanticuniverse.com/resource/semtech-2009-1655 http://purl.org/dc/elements/1.1/description As part of Oracle Spatial 11g, an option for Oracle Database 11g Enterprise Edition, Oracle delivers an advanced semantic data management capability not found in any other commercial or open source triple store. <P> This talk discusses: <ul><li>How to use the Oracle Database semantic feature to build enterprise-scale semantic applications</li> <li>Tips and best practices</li> <li>Plans for new scalable incremental inference that efficiently handles the addition of new RDF triples, </li> <li>Plans for new scalable parallel inference that leverages modern multi-core processor architectures.</li></ul> <P> Oracle semantic database features have native support for RDF/RDFS/OWL/Jena standards. These semantic database features enable storing, loading, and DML access to RDF/OWL data and ontologies, inferencing with OWL and RDFS semantics and user-defined rules, querying of RDF/OWL data and ontologies using SPARQL-like graph patterns embedded in SQL, and ontology-assisted querying of enterprise (relational) data. <P>
http://data.semanticuniverse.com/resource/semtech-2009-1655 http://purl.org/dc/elements/1.1/creator http://data.semanticuniverse.com/resource/zhe-wu
http://data.semanticuniverse.com/resource/semtech-2009-1655 http://swrc.ontoware.org/ontology#keywords enterprise-scale
http://data.semanticuniverse.com/resource/semtech-2009-1655 http://www.w3.org/2002/12/cal/icaltzd/dtEnd 2009-06-16T17:30:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
http://data.semanticuniverse.com/resource/semtech-2009-1655 http://purl.org/dc/elements/1.1/title Building Enterprise Applications With Oracle Database 11g Semantic Technologies
http://data.semanticuniverse.com/resource/semtech-2009-1655 http://swrc.ontoware.org/ontology#keywords semantic-query
http://data.semanticuniverse.com/resource/semtech-2009-1655 http://www.w3.org/2002/12/cal/icaltzd/dtStart 2009-06-16T16:30:00-07:00^^http://www.w3.org/2001/XMLSchema#dateTime
http://data.semanticuniverse.com/resource/semtech-2009-1655 http://swrc.ontoware.org/ontology#keywords owl
http://data.semanticuniverse.com/resource/semtech-2009-1655 http://swrc.ontoware.org/ontology#keywords rdfs
http://data.semanticuniverse.com/resource/semtech-2009-1655 http://swrc.ontoware.org/ontology#keywords semantic-applications
http://data.semanticuniverse.com/resource/semtech-2009-1655 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://data.semanticweb.org/ns/swc/ontology#SessionEvent
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http://data.semanticuniverse.com/resource/semtech-2009-2132 http://purl.org/dc/elements/1.1/description In this session, Part 1 of 2, STI International will present three of their projects: NeOn, Active, and Service Web 3.0. <P> <h4>NeOn - presented by Mathieu d'Aquin, The Open University</h4> <p>The aim of the NeOn project is to create the first ever service-oriented, open infrastructure, and associated methodology, to support the development lifecycle of a new generation of semantic applications, with the overall goal of providing economically viable solutions. We will discuss models and scenarios taken from practical use cases, and illustrate how the new approach leads to increasing the efficiency of knowledge production, reuse and adoption, while at the same time opening knowledge engineering to other software development professionals and subject specialists. <P> two specific demonstrations: (i) using networked ontologies to bootstrap a new-generation information system for managing distributed and heterogeneous information to improve the efficiency of monitoring world fisheries stock management for the Food and Agriculture Organization of the United Nations; and (ii) using contextualized and networked ontologies to drive sector clustering, networking and B2B co-operation among stakeholders active in the Pharmaceutical domain.</p> <P> <hr width="10%" /> <P> <h4>Active - presented by Paul Warren, British Telecommunications </h4> <P> <p>Knowledge workers are central to an organization's success - yet the tools they must use often stand in the way of maximizing their productivity. This talk describes the ongoing work of the ACTIVE project: remedying some of the defects of current knowledge worker tools. Three themes drive our work. First off, we aim to ease the sharing of information through a combination of a formal approach based on ontologies and informal techniques such as user tagging and the use of wikis. Secondly, we are prioritizing the delivery of information through an understanding of the user's current task context. Thirdly, we are helping users to share and reuse informal processes, including by learning those processes from the users' behavior. </p> <P> <hr width="10%" /> <P> <h4>Service Web 3.0 - presented by Alexander Wahler, STI International</h4> <P> <p>The Future Internet is the coined name of the international initiative led by the European Commission to preempt the coming challenges as our modern society becomes more dependent upon and immersed with networked technologies. Service Web 3.0 is one of the most active research projects contributing towards the realization of the Future Internet vision. This presentation provides an overview of the initiative and highlights ongoing activities driven by Service Web 3.0, particularly within the Internet of Services domain. Additionally, as a support action project, Service Web 3.0 aims to bridge the knowledge transfer gap between academia and industry by developing educational and training programs and supporting entrepreneurial efforts based upon marketable research results. This presentation provides an overview of three new companies with innovative solutions and promising chances of monetizing their way over the knowledge transfer gap. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-2132 http://purl.org/dc/elements/1.1/abstract In this session, Part 1 of 2, STI International will present three of their projects: NeOn, Active, and Service Web 3.0.
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http://data.semanticuniverse.com/resource/semtech-2009-1890 http://purl.org/dc/elements/1.1/description According to the statistics at Meetup.com, there are 1,755 Members of 96 Meetups in 4 Countries. Chances are good that many of us will be in San Jose at SemTech 2009. Let's take this opportunity to connect our Meetups! <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1890 http://purl.org/dc/elements/1.1/abstract According to the statistics at Meetup.com, there are 1,755 Members of 96 Meetups in 4 Countries. Chances are good that many of us will be in San Jose at SemTech 2009. Let's take this opportunity to connect our Meetups!
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http://data.semanticuniverse.com/resource/semtech-2009-1812 http://www.w3.org/2000/01/rdf-schema#label SQE - Semantic Query Expansion
http://data.semanticuniverse.com/resource/semtech-2009-1812 http://purl.org/dc/elements/1.1/audience Technology - Intermediate
http://data.semanticuniverse.com/resource/semtech-2009-1812 http://purl.org/dc/elements/1.1/title SQE - Semantic Query Expansion
http://data.semanticuniverse.com/resource/semtech-2009-1812 http://purl.org/dc/elements/1.1/abstract SQE is a semantic query expansion algorithm that uses semantic annotation, thesauri and taxonomies combined with information from user's profile and the human-computer loop for efficient search on semi-structured data repositories.
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http://data.semanticuniverse.com/resource/semtech-2009-1812 http://purl.org/dc/elements/1.1/description The amount of information is growing rapidly and we all experience a decrease in the relevance of search results. <P> We would like to present Semantic Query Expansion (SQE), an algorithm for effective information retrieval. The algorithm extends the concept of query reformulation. The algorithm classifies each query element using taxonomies, matching the meaning from thesauri and expanding the query by inserting semantically related terms. The algorithm works in an iterative loop and depending on the current processing stage it increases the precision or recall of the results. The expansion process utilizes a semantically described user's social profile (user's details and preferences represented as bookmarks) and the profiles of his/her friends. The expansion results are compared with short and long-term history of interactions with the system where SQE algorithm is implemented, e.g., a digital library; this step contributes to overall improvement of the relevance of presented results. The query expansion process is highly configurable for better optimization and can be optionally controlled by step-by-step human-computer interaction loop. <P> We will present: <P> *Tutorial: How to implement SQE in your system; *Differences in using plain and semantically aided search; *Impact of the user's profile and social information on relevance of results; *Abilities and benefits of SQE human-computer interaction loop; *Example of SQE implementation for Semantic Digital Library (JeromeDL); <P>
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http://data.semanticuniverse.com/resource/semtech-2009-2012 http://purl.org/dc/elements/1.1/title Using Linked Data Solves Real Problems
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http://data.semanticuniverse.com/resource/semtech-2009-2012 http://purl.org/dc/elements/1.1/description Agility is the timeless pursuit of enterprises and individuals alike. In all cases, access, integration, and dissemination of data is pivotal. In recent times, Linked Data, an emerging meme deeply rooted in Web architecture, has emerged as a viable and powerful vehicle for applying the essence of the Web (URIs) to the pursuit and enterprise and individual agility. <P> This session will cover live demonstrations and discussion about how the Linked Data meme affects: Identity &amp; Security, Open Data Access, Data Integration, and Search. <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1991 http://purl.org/dc/elements/1.1/description <h4>PART I | Lensfield - The Working Scientist's Linked Data Space Elevator</h4> <p>The vision of Open Linked Data in long-tail science (as opposed to Big Science, high energy physics, genomics etc) is attractive, with the possibility of delivering abundant data without the need for centralization. In achieving that vision, we face a number of practical challenges. The principal challenge is the steep learning curve that scientists face in dealing with URIs, web deployment, RDF, SPARQL etc. The result is that the desktop filesystem is likely remain the arena for the production of data in the near to medium term. Lensfield is a data repository system that works with the filesystem model and abstracts semantic web complexities away from scientists who are unable to deal with them. The presentation of this system will include a demonstration of how we have extended Lensfield to produce a Linked Data publication system for small molecule data.</p> <P> <hr width="10%" /> <P> <h4>PART II | The Semantic Chemical World Wide Web</h4> <p>The development of new drugs, new materials and new personal care products requires the confluence of data and ideas from many different scientific disciplines and enabling scientists to ask questions of heterogeneous data sources is crucial for future innovation and progress. The central science in much of this is chemistry and therefore the development of a &#34;semantic infrastructure&#34; for this vertical is of direct relevance to large industries such as the pharmaceuticals, home and personal care and, the classical chemical industry. </p> <P> <p>The talk will discuss the development of markup languages and ontologies for chemicals and materials (data). It will illustrate how ontologies can be used for indexing, faceted search and retrieval of chemical information and for the &#34;axiomatisation&#34; of chemical entities and materials beyond simple notions of chemical structure..</p> <P>
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http://data.semanticuniverse.com/resource/semtech-2009-2145 http://purl.org/dc/elements/1.1/description <p>This session will be a comprehensive introduction to semantic wikis, an exciting hybrid of web 2.0 and semantic web technology. In the session, we will introduce semantic wikis, demonstrate the capabilities and applications of some of the leading examples, and discuss future development directions. It will be organized into the following parts: </p> <ul> <li><em>Introduction</em>: An overview presentation on the background, application areas, strengths, and weaknesses of semantic wikis.</li> <li><em>Semantic Wiki 101</em>: A demo-oriented session with lots of Q&amp;A where we will go through an in-depth tour of the basic features of one popular semantic wiki package (the open-source Semantic MediaWiki).</li> <li><em>Semantic Wiki Applications</em>: A set of 15-minute presentations and demos of applications of semantic wikis in project management, business intelligence, terminology management, SOA management, research support, government applications, and several others.</li> </ul> <p>The presenters and timings are: </p> <ul> <li>2:00 - 2:20:&nbsp; Introduction (Mark Greaves, Vulcan)</li> <li>2:20 - 2:40:&nbsp; Semantic Wiki 101 (Denny Vrandecic, AIFB)</li> <li>2:40 - 3:00:&nbsp; Business Intelligence with the Halo Extensions (Daniel Hansch, Ontoprise)</li> <li>3:20 - 3:40:&nbsp; Wikidsmart for Confluence (Sanjiva Nath, zAgile)</li> <li>3:40 - 4:00:&nbsp; Embedding Wiki Knowledge in Companies (Steven Forth, LeveragePoint)</li> <li>4:00 - 4:20:&nbsp; Knoodl for Government (Michael Lang, Revelytix)</li> <li>4:20 - 4:40:&nbsp; Geneological Wikis for FamilySearch.org (Marc Feickert, FamilySearch)</li> <li>4:40 - 5:00:&nbsp; Video Wikis and MS Office Integration (Jesse Wang, Vulcan)</li> <li>5:00 - 5:15:&nbsp; Wikis, AI, and Textbooks (Vinay Chaudhri, SRI)</li> <li>5:15 - 5:30:&nbsp; Large Semantic Wiki Installations (Deborah McGuinness, RPI)</li> </ul> <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1682 http://purl.org/dc/elements/1.1/abstract Semantics and SOA need each other. SOA needs tools and approaches to address its most significant challenge: semantic dissonance. Semantic technology needs a significant enterprise application to fuel its evolution.
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http://data.semanticuniverse.com/resource/semtech-2009-1769 http://purl.org/dc/elements/1.1/title Building Next Generation Semantic Applications
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http://data.semanticuniverse.com/resource/semtech-2009-1769 http://purl.org/dc/elements/1.1/description Semantic data, information and ontologies are becoming more and more present on the Web. Organizations are &#34;semantifying&#34; parts of their information resources to facilitate interoperability and knowledge exchange. In this new context, the way we build semantic applications changes entirely. These applications are not based on single, standalone ontologies carefully hand-crafted by experts. They take benefit from the emerging, dynamic, contextualized and distributed knowledge resources available by reusing, exploiting and combining various sources in &#34;networked ontologies&#34;. We'll also present several case studies, in particular in federating heterogeneous information resources and formats in the Spanish pharmaceutical industry. <P> Part 1: Building Networked Ontologies <ul><li>Ontology Lifecycle: Methodology for building ontology networks</li> <li>Ontology Lifecycle: Design patterns and best practices</li> <li>Ontology Lifecycle: Tool support</li></ul> Part 2: Using Networked Ontologies in applications <ul><li>Methodology for the development of large-scale semantic applications </li> <li>Finding and sharing ontologies for reuse and exploitation</li> <li>Building applications with the NeOn toolkit</li></ul> Part 3: Case studies <ul><li>Applications in the pharmaceutical sector </li> <li>Applications in fish stock management</li></ul> <P>
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http://data.semanticuniverse.com/resource/semtech-2009-1769 http://purl.org/dc/elements/1.1/abstract This tutorial will present and demonstrate tools and methodologies to support the development of modern semantic applications, exploiting networked ontologies in a dynamic and distributed environment.
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http://data.semanticuniverse.com/resource/semtech-2009-1783 http://purl.org/dc/elements/1.1/abstract This tutorial will give a overview on how to apply Semantic Web technologies in existing Enterprise 2.0 environments to augment interoperability between applications and improve search capabilities.
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http://data.semanticuniverse.com/resource/semtech-2009-1783 http://purl.org/dc/elements/1.1/description Online Social Networks are rarely integrated into the existing IT landscape, although they could help with information dissemination and assessment. Moreover, incompatible data structures between applications make interoperability a difficult task. The Semantic Web helps to Web 2.0 for Enterprises reach its full potential by providing means to interlink and re-use knowledge created by end-users from various tools. In this tutorial, attendees will learn how to: <P> <ul><li>Create a Semantic Web architecture for an existing Enterprise 2.0 infrastructure</li> <li>Reuse knowledge hidden in existing applications like blogs, wikis and Online Social Networks</li> <li>Integrate an existing company information IT infrastructure with the emerging Enterprise 2.0 toolset</li> <li>Manage domain ontologies in an open and collaborative way using semantic wikis</li> <li>Take advantage of existing machine-accessible knowledge from the Web to augment user-experience in corporate applications</li> <li>Benefit from the architecture to provide semantic search capabilities</li></ul> <P>

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