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Information Sharing on the Social Semantic Web

This paper by Aman Shakya and Hideaki Takeda explores the intersection of the Social Web and Semantic Web, proposing the concept of the Social Semantic Web. It discusses trends in Web 2.0, highlights the challenges of unstructured data, and elucidates the importance of semantics for enhancing collaboration between machines and users. Techniques such as folksonomy, ontology, and the StYLiD platform for structured data are examined. The authors argue for the necessity of interoperability standards and user-friendly platforms to enable effective information sharing in a collaborative environment.

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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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