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Information Sharing on the Social Semantic Web

Information Sharing on the Social Semantic Web. Aman Shakya* and Hideaki Takeda National Institute of Informatics, Tokyo, Japan. Outline. Social Web Semantic Web Social Semantic Web StYLiD Conclusion. Social Web. Recent phenomenon on the Web A new generation of Web

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Information Sharing on the Social Semantic Web

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  1. Information Sharing on the Social Semantic Web Aman Shakya* and Hideaki Takeda National Institute of Informatics, Tokyo, Japan The Second NEA-JC Workshop on Current and Future Technologies, Oct. 12, 2008, Tokyo

  2. Outline • Social Web • Semantic Web • Social Semantic Web • StYLiD • Conclusion NEA-JC, 2008, Tokyo

  3. Social Web • Recent phenomenon on the Web • A new generation of Web • Most significant aspect of Web 2.0 • Mass user participation • User activity • People Connect, Socialize and Interact • User-generated Contents • Easy to understand / use NEA-JC, 2008, Tokyo

  4. NEA-JC, 2008, Tokyo

  5. Blogs NEA-JC, 2008, Tokyo

  6. Wiki NEA-JC, 2008, Tokyo

  7. Social Web applications • Multimedia sharing sites • Social Networking NEA-JC, 2008, Tokyo

  8. Social Bookmarking NEA-JC, 2008, Tokyo

  9. Tagging Tag Cloud • Folksonomy NEA-JC, 2008, Tokyo

  10. Wisdom of the Crowds NEA-JC, 2008, Tokyo

  11. Social WebToday Web 2.0 NEA-JC, 2008, Tokyo

  12. Social Web Limitations • Unstructured data • Unclear Semantics • Machines do not understand • Information processing/retrieval difficult • Lack of Interoperability • Lot of data locked in closed “Data Silos” or “Walled data gardens” • Lack of Standards NEA-JC, 2008, Tokyo

  13. Walled Data Gardens NEA-JC, 2008, Tokyo

  14. Semantic Web • Sir Tim Berners-Lee (inventor of the Web) “.. an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation..” Scientific American (2001) NEA-JC, 2008, Tokyo

  15. Semantic Web (explained) • Web of Data • Giant Global Graph (GGG) GGG - Web of Data WWW – Web of Documents NEA-JC, 2008, Tokyo

  16. Semantic Web (explained) • Data Modeling and Knowledge Representation • Machine understandable Semantics • Ontology “.. an explicit specification of a conceptualization” • modeling of the objects, concepts, entities, relationships that exist in the area of interest Gruber (1993) NEA-JC, 2008, Tokyo

  17. Ontology NEA-JC, 2008, Tokyo

  18. Semantic Web (explained) The Semantic Web Cake NEA-JC, 2008, Tokyo

  19. Semantic Web (explained) • Consensus • Common formats • Standard Vocabulary • Interoperability • Information exchange • Information integration NEA-JC, 2008, Tokyo

  20. The Semantic Web Today OWL (web ontology language) SPARQL query language Resource Description Format Microformats RDFa MIT Linked Data browsers Gene ontology NEA-JC, 2008, Tokyo

  21. Challenges for Semantic Web • Ontology creation is difficult • Global consensus is difficult • Difficult to understand and use for ordinary people • Lack of incentive / motivation • Lack of enough Data and Applications NEA-JC, 2008, Tokyo

  22. Semantic Web “Chicken or Egg” Data first or Applications first NEA-JC, 2008, Tokyo

  23. Social Semantic Web • Social Web + Semantic Web • Complement each other • Semantic Web • Machine understandable structure • Interoperability standards • Social Web • Easy-to-use platforms • Consensus thru Social interaction / collaboration • Combining the two cultures (Web 3.0 ?) • Semantic Wiki • Semantic Blog • Semantic Tagging • Ontology from folksonomy….. etc NEA-JC, 2008, Tokyo

  24. StYLiD • Structure Your own Linked Data http://www.stylid.org • Social Web platform • Share a wide variety of Structured Data • Define your own Concepts (with attributes) • Easy for ordinary people • Publish on the Semantic Web • Exploit the structured data for useful applications NEA-JC, 2008, Tokyo

  25. Creating a new Concept “Project” concept Attribute labels Description NEA-JC, 2008, Tokyo 25

  26. Enter Instance Data value Multiple Values NEA-JC, 2008, Tokyo

  27. values attributes NEA-JC, 2008, Tokyo

  28. Hotel - ver.1 (user1) Name Address Country Hotel - ver.2 (user1) Name Address Phone-number Hotel - ver.3 (user1) Name Location Rating Hotel - ver.1 (user2) Name Capacity Zip-code Hotel - ver.2 (user2) Name Zip-code Price Hotel - ver.1 (user3) Name Lat Long Concept Consolidation Virtual Concept Hotel Hotel (user3) Hotel (user1) Hotel (user2) NEA-JC, 2008, Tokyo

  29. Conclusion • Social Web and Semantic Web • Developed independently • Weakness of one Strength of another • Social Semantic Web • Combine the two cultures • StYLiD • Social platform to share Semantic Web data • Effective integration not easy • Disadvantages creep in with advantages • Proper coordination between the two communities necessary NEA-JC, 2008, Tokyo

  30. Thank You! Happy Vijaya Dashami and Deepawali 2065 !! NEA-JC, 2008, Tokyo

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