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Information Sharing on the Social Semantic Web Aman Shakya* and Hideaki Takeda National Institute of Informatics, Tokyo, Japan The Second NEA-JC Workshop.

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Presentation on theme: "Information Sharing on the Social Semantic Web Aman Shakya* and Hideaki Takeda National Institute of Informatics, Tokyo, Japan The Second NEA-JC Workshop."— Presentation transcript:

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 2NEA-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 3NEA-JC, 2008, Tokyo

4 4

5 Blogs 5

6 Wiki 6

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

8 Social Bookmarking 8NEA-JC, 2008, Tokyo

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

10 10NEA-JC, 2008, Tokyo

11 Social Web Today Web 2.0 11NEA-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 12NEA-JC, 2008, Tokyo

13 Walled Data Gardens 13NEA-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) 14NEA-JC, 2008, Tokyo

15 Semantic Web (explained) Web of Data Giant Global Graph (GGG) NEA-JC, 2008, Tokyo15 WWW – Web of Documents GGG - Web of Data

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 NEA-JC, 2008, Tokyo16 Gruber (1993)

17 Ontology NEA-JC, 2008, Tokyo17

18 Semantic Web (explained) NEA-JC, 2008, Tokyo18 The Semantic Web Cake

19 Semantic Web (explained) Consensus Common formats Standard Vocabulary Interoperability Information exchange Information integration NEA-JC, 2008, Tokyo19

20 The Semantic Web Today NEA-JC, 2008, Tokyo20 OWL (web ontology language) Resource Description Format SPARQL query language Linked Data browsers Microformats RDFa MIT Gene ontology

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, Tokyo21

22 Semantic Web “Chicken or Egg” NEA-JC, 2008, Tokyo22 Data first or Applications first

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, Tokyo23

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, Tokyo24

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

26 NEA-JC, 2008, Tokyo26 Enter Instance Data value Multiple Values

27 NEA-JC, 2008, Tokyo27 attributes values

28 Concept Consolidation NEA-JC, 2008, Tokyo28 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 Hotel (user1) Hotel (user2) Hotel (user3) Hotel Virtual Concept

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, Tokyo29

30 Thank You! Happy Vijaya Dashami and Deepawali 2065 !! NEA-JC, 2008, Tokyo30


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