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StYLiD : Social Information Sharing with Free Creation of Structured Linked Data

StYLiD : Social Information Sharing with Free Creation of Structured Linked Data. Aman Shakya 1 , Hideaki Takeda 1 , Vilas Wuwongse 2 1 National Institute of Informatics Tokyo, Japan 2 Asian Institute of Technology, Pathumthani , Thailand. Motivation.

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StYLiD : Social Information Sharing with Free Creation of Structured Linked Data

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  1. StYLiD: Social Information Sharing with Free Creation of Structured Linked Data Aman Shakya1, Hideaki Takeda1, Vilas Wuwongse2 1National Institute of Informatics Tokyo, Japan 2Asian Institute of Technology, Pathumthani, Thailand

  2. Motivation • People want to share information on the Web • Lets share Structured Data • Model different types of data • Semantics becomes explicit • Effective information sharing and gathering • Effective Search and Browsing • Integrate/Remix data from various sources • Interoperability among systems SWKM 2008, Beijing, China

  3. Challenges • Wide variety of information to share • Long Tail of information domains (Hunyh et al. 2007) • Traditional database driven systems • Rigid and specific • Ontologies for the Semantic Web • Difficult to create • Not many popular ontologies • Difficult to search, understand and use • Not feasible to create new systems every time • Easy system for all general users • Mass participation • Multiple user perspectives, requirements and contexts SWKM 2008, Beijing, China

  4. StYLiD • Structure Your own Linked Data http://www.stylid.org • A Social Software platform • Structured Information sharing • Freedom to define your own concepts • Conceptualize and share any“thing” • Easy to use • For any general user • Multiple Definitions • Consolidated by the system • Emerging popular concepts • evolve incrementally SWKM 2008, Beijing, China

  5. Creating a new Concept “Project” concept Attribute labels Description Suggested Value Range SWKM 2008, Beijing, China

  6. Enter Instance Data Literal value Suggested range concepts Resource URI Multiple Values SWKM 2008, Beijing, China

  7. StYLiD Structured Data Instance Project concept created byUsername (version no.) attributes SWKM 2008, Beijing, China

  8. Multiple Concept Definitions • Different users can define • The same concept with the same name • Users have • Different requirements/purposes • Different perspectives • Different preferences • Evolving concept definitions • Modify concepts defined by others • Incremental definitions SWKM 2008, Beijing, China

  9. 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) SWKM 2008, Beijing, China

  10. Concept Cloud Consolidated concept Sub-Cloud

  11. Alignment of Concept Attributes • Automatically suggest Attribute Alignments • Currently based on Edit distance between labels • User in the loop • User verifies and completes the alignment • Alignments are saved • Using the alignment ontology http://www.atl.lmco.com/projects/ontology/ontologies/core/alignment/Alignment.owl • Small effort of One benefits All • Human intelligence + Machine intelligence SWKM 2008, Beijing, China

  12. Concept versions x SWKM 2008, Beijing, China

  13. A Unified View • Consolidated Concept with consolidated attributes Uniform Table View Unified attributes SWKM 2008, Beijing, China

  14. Structured Search • Query on Consolidated concept • Unfolds to queries on individual concepts Search on Consolidated Concept SPARQL SWKM 2008, Beijing, China

  15. Linked Data • URIs • Unique and dereferenceable • Link instances • Enter any Resource URI as attribute value • Pick instances from the suggested range • Link to Wikipedia contents • Simple Hyperlinked pages for the user • Linked Data Web for the machines • Structured data embedded in HTML using RDFa StYLiD Wikipedia URI DBpedia URI SWKM 2008, Beijing, China

  16. Related Work • Semantic Blogging • Semantic Wikis • Ontology from Folksonomy • Alignment - Potluck Exhibit SWKM 2008, Beijing, China

  17. Conclusion • StYLiD • Sharing wide variety of Structured Data • Social software • Easy and flexible interface • Let users contribute freely • Consolidation of Multiple conceptualizations • Semi-automatic alignment of attributes • Ontology as by-product of information sharing • Supporting Linked Data • Formal machine understandable output SWKM 2008, Beijing, China

  18. Future and Ongoing Work • Incorporating robust schema alignment systems • Computing relations among concepts • Hierarchical / non-hierarchical • based on Concept structure / Instance data • Consolidating concepts with different names • Disambiguation of concepts with same name • Plugins to utilize on structured data • Expose data through API / extended RSS SWKM 2008, Beijing, China

  19. Thank You! • Questions • Suggestions SWKM 2008, Beijing, China

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