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Standard text messaging rates apply SCOT-based Tag Sharing Services


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  • 1. SCOT-based Tag Sharing Services Hak Lae Kim and John Breslin Blogtalk 2008 Cork, Ireland Social Software Group {, john.breslin}
  • 2. I will talk about Why Do We Need to Share Tags? Tag Tagging Tagcloud Folksonomies structure semantics data format SCOT mashups OpenTagging semantic web sharing social networks
  • 3.
    • Background
  • 4.
    • Tag : free-text keyword created by a human being
    • Tagging : indexing process assigning tags to resources
    • Folksonomies : collections of tags that are created in social tagging
    • Tagcloud : visualization tool for folksonomies
    Tag, Tagging, Folksonomies
  • 5.
    • User engagement & easy-to-use
    • Increased refindability
    • More metadata!
    Advantages of Tagging
  • 6. Disadvantages of Tagging
    • Ambiguity
    • Findability
    • Accuracy
    • Portability
    • structure and semantics for tagging data might be a solution
  • 7. Why Do We use Tags?
  • 8. Why Do We use Tags?
  • 9. Why Do We use Tags?
  • 10. What Do We Expect from Tagging? Why Do We Need to Share Tags?
  • 11. What Do We Expect from Tagging? Why Do We Need to Share Tags? Social !
  • 12. Current Tagging Environments Individual Perspective Community Perspective Applications Perspective Structure and semantic are enough
  • 13. Current Tagging Environments Individual Perspective Community Perspective Applications Perspective
      • Personalization/Localization-Tag namespaces for Limited communities
  • 14. Current Tagging Environments Individual Perspective Community Perspective Applications Perspective Portability and interoperability among heterogeneous platform
  • 15. Where is “Your” Tag Clouds?
  • 16.
    • OpenTagging Platform
  • 17. OpenTagging Platform
    • an open framework that is scalable and interoperable with all existing tagging data from heterogeneous sources or applications
    • Goals
      • to make tagging data open, more universal, and apply it across any number of social tagging sites
      • Through continuously user participations on the platform, users can make their customized folksonomies to organize their data by their needs and interests
      • The interaction of diverse objects such as users, tags, and resources on the platform brings emergent semantics of tagging data and leverages social connections among participants
  • 18.
    • Open Data Format
  • 19. Goals OpenTagging Platform Open Data Formats Methods and APIs Interoperation & Portability social connections Existing Tag Sources OpenTagging Spaces Desktop Web Mobile
  • 20. Three core components
    • Open Data Format
      • These aim for specifying tagging data in a formal way. The data formats for common conceptualization of tagging data can be represented by an ontology to make a minimal commitment.
    • Methods and APIs
      • aims to collect, share, or exchange tagging data, or create a bridge among heterogeneous social tagging sites, methods should implement by types of mashups
    • Platform
      • supports a social ecosystem that interlinks among diverse objects such as individual and individual, individual and communities, or individual and the tags themselves and leverages social connections based on tags.
  • 21.
    • Open Data Format
  • 22. Tag Ontologies for Data Format
    • Structure and Semantics for Tagging data
      • Gruber’s conceptual idea ( )
      • Richard Newman’s Tag Ontology ( )
      • Torben Knerr’s Tagging Ontology ( )
      • Tag Schema ( )
      • Henry Story’s Tagging Schema ( )
    • Sharing and Exchanging for Tagging data
      • ( )
      • Social Semantic Cloud of Tags ( )
      • A Meaning of Tag ( )
  • 23. Gruber’s Conceptual Model
    • Core Concepts
      • Tag: a word or phrase that is recognizable by people and computers
      • Object: a thing to be tagged, identifiable by a URI or a similar naming service
      • Tagger: someone or thing doing the tagging, such as the user of an application
      • Tagged: the assertion by Tagger that Document should be tagged with Term
      • Tagging(Object, Tag, Tagger, Source)
  • 24. Newman’s Tag Ontology
  • 25. Tagging Example
  • 26. Tagging Example
  • 27. Tagging Example
  • 28. Tagging Example
  • 29. How do we contain each tagging activity?
  • 30.
    • Social Semantic Cloud of Tags
  • 31. SCOT Ontology
    • Social Semantic Cloud of Tags
      • aims to describe the structure and the semantics of tagging data and to offer social interoperability of the data among heterogeneous sources
      • is to provide social structure of tagging for seamless tag sharing across heterogeneous users, applications or sources
  • 32. Simple Overview of SCOT
  • 33. Tagcloud class
  • 34. Tag class
  • 35. Cooccurrence class
  • 36. How to extract SCOT instance? Demo
  • 37.
    • Platform for OpenTagging
  • 38. Overview
    • Goal: to realize the OpenTagging platform
      • SCOT based representation for tagging data
      • methods for search, compare or integrate tagging data
      • Open APIs to get tagging data
    • Provide a tagging, bookmarking, and sharing service for social tagging data
    • Provide a uniform way to share, exchange, and reuse tagging data among users, communities, or sources
    • Links among tagging data with Semantic Web vocabularies ( SIOC, FOAF, SKOS, DC, MOAT )
  • 39. How works? Weblogs Web 2.0 sites Desktops or Mobile share retrieve aggregate
  • 40. How Works? ❷ search ❸ bookmark ❶ share ❶ share ❹ integrate Alice Bob
  • 41. Demo
  • 42. Now, do you know where is your Tag Clouds?
  • 43. Where is Your Tag Clouds?
  • 44. Additional Information
    • SCOT Project
    • OpenTagging Platform