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Lee Feigenbaum Presentation


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Lee Feigenbaum Presentation

  1. 1. An Introduction to the Semantic Web Landscape Lee Feigenbaum VP Technology & Client Services, Cambridge Semantics Co-chair, W3C SPARQL Working Group
  2. 2. Executive Summary: Semantic Web in 2010 2 Semantic Web technologies in 2010 is characterized by a healthy environment of stable, broadly-implemented core standard technologies complemented by a number of continually emerging new standards. Adopters of Semantic Web technologies can choose from a wide range of commercial and open-source interoperable tools and systems. Enterprise Semantic Web projects are moving beyond proofs of concept and production pilots to larger-scale production implementations. Community and government projects on the World Wide Web, buoyed by increasing support from major search engines, have linked hundreds of public data sets into an emergent Semantic Web.
  3. 3. “The Semantic Web” Put explicit data on the World Wide Web in a machine-readable fashion …government data …commercial data …social data In order to enable… …targeted search …data browsing …automated agents What is it & why do we care? (1) 3 World Wide Web : Web pages :: The Semantic Web : Data
  4. 4. “Semantic Web technologies” A family of technology standards that ‘play nice together’, including: Flexible data model Expressive ontology language Distributed query language Drive Web sites, enterprise applications What is it & why do we care? (2) 4 The technologies enable us to build applications and solutions that were not possible, practical, or feasible traditionally.
  5. 5. Two (different but related) takes on the same technologies The Semantic Web is often implemented using Semantic Web technologies You’ll hear about both here 5 Heads or Tails?
  6. 6. Names 6
  7. 7. Semantic Web Web of Data Giant Global Graph Data Web Web 3.0 Linked Data Web Semantic Data Web Branding 7
  8. 8. A common set of technologies: ...enables diverse uses ...encourages interoperability A coherent set of technologies: …encourage incremental application …provide a substantial base for innovation A standard set of technologies: ...reduces proprietary vendor lock-in ...encourages many choices for tool sets A Common & Coherent Set of Technology Standards 8
  9. 9. The (In)Famous Layer Cake 9
  10. 10. Semantic Web Technology Timeline 1999 2001 2004 2008 20102007 RIF 10
  11. 11. “Semantic technologies” generally refers to a broad spectrum of techniques for finding signal in large or complex data sources. Semantic Web standards tend to be effective tools for implementing these techniques. Semantic (Web) Technologies? 11 Semantic technologies Semantic Web standards • RDF – data model • RDFS & OWL – schema, ontology, inference • SPARQL – query • RDFa – data in Web pages • … • Data mining • Unstructured text mining / NLP • Entity extraction • Sentiment analysis • Semantic search
  12. 12. The Semantic Web Paradigm 12
  13. 13. The World Changes Traditionally: Change is costly Semantics: Change is cheap The (Dynamic) Semantic Web Paradigm 13 Flexible Graph Model URIs for naming Agility On-the-fly RDB 1 RDB 2
  14. 14. As technologies & tools have evolved, Semantic Web community members have progressed through stages: 2010: Where we are 14 Report on… Execute on… Semantic Web vision Initial experiments Experiments Technology standards Technology standards Software packages Software packages Proofs of concept Proofs of concept Production pilots Production pilots Production implementations
  15. 15. 2010: Where we’re not 15 Semantic Web technologies are not a ‘magic crank’ for discovering new drugs (or solving other problems, for that matter)! Image from Trey Ideker via Enoch Huang
  17. 17. How do the solutions and approaches presented benefit from flexibility? Can the solutions presented be easily adapted to other purposes? Flexibility & Reuse 17
  18. 18. How does Semantic Web technologies bring differential value to the projects presented? Faster development speed? Incremental development / deployment? Inferring new data? Improved user / consumer / partner experience? Something else altogether? Value 18
  19. 19. What skills are required to build and maintain the solutions you see? Skills 19
  20. 20. What factors are helping or hindering adoption of the projects presented? What does the presented work tell us about the maturity of the Semantic Web standards, tools, market, …? Future Directions 20
  21. 21. Thanks & Questions 21