International consortium directed by Tim Berners-Lee
Mission: "Lead the Web to its full potential"
Hosts: MIT, ERCIM, Keio University
Defines Web standards: HTML, XML, Web Services, Semantic Web
W3C track record: building infrastructure to address technical and social needs of the Web
Data Integration at Web Scale
Enabling a Web of Data
Enabling more effective collaboration and reuse of data at various scales
Reducing the technical and social costs for effective integration of networked data
Moving from a Web of Document to a Web of Data
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Thinking back a bit... circa 1993 FTP, Gopher and Archie: popular for sharing resources on the Internet Stopped at the file level |
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Thinking back a bit... circa 1994 HTML and URIs Markup language and means for connecting resources Below the file level Stopped at the text level |
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XML, RDF, OWL and URIs Markup language and means for connecting resources Below the file, text level At the data level |
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Web Evolution not Revolution Exposing data hiding in documents, servers and databases Machine Processible data on the Web |
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Semantic Web foundation specifications RDF, RDF Schema and OWL are W3C Recommendations as of Feb 2004 (press release and testimonials)
Standardization work is underway in Query and Best Practices.
Open standards, commercial and open source and tools - technologies for modeling real world things; sharing these models across the Web.
Web Evolution causing a quiet revolution
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Map (ontology) aids navigation and search Related items including news and events Adaptive user interface Open Metadata Open Modelling |
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IBM Internet Technology Group - focusing on general infrastructure for Semantic Web applications
Develop user-centered tools - power of Semantic Web technologies, but hide the underlying complexity
Integrated tool kit (storage, query, editing, annotation, visualization)
Common Representation (RDF), Unique identifiers (LSID), Provenance, Collaboration
Focus on Life Sciences; Potential for transforming the scientific research process
XMP - eXtensible Metadata Platform; based on RDF
Fundamental technology for Adobe's strategy for metadata and information management
More effective organization; intelligent / automation workflows; improved productivity
Supported throughout Adobe Creative Suite, over 700K desktops
Support from 30+ major asset management vendors, on their metadata roadmap
An RDF data model to store RDF statements
Java Ntriple2NDM converter for loading existing RDF data
An RDF_MATCH function which can be used in SQL to find graph patterns in RDF (similar to SPARQL)
Will be release as part of Oracle Database 10.2 later this year
(Smart) Data is (increasingly) King
Planing for evolution (data, services, partners, etc.) is cost effective
Applying "open" solutions to "closed" problems is cost effective
Quicker time / services / products to market
More flexible, customized information services / products to market
Powerful, flexible content management, integration and delivery
More flexible, as needed data integration
Social
Technical
Community
Marketplace
The Semantic Web is here
You make it happen