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SocioTM – Relevancies, Collaboration, and Socio-knowledge in Topic Maps
SocioTM – Relevancies, Collaboration, and Socio-knowledge in Topic Maps
SocioTM – Relevancies, Collaboration, and Socio-knowledge in Topic Maps
SocioTM – Relevancies, Collaboration, and Socio-knowledge in Topic Maps
SocioTM – Relevancies, Collaboration, and Socio-knowledge in Topic Maps
SocioTM – Relevancies, Collaboration, and Socio-knowledge in Topic Maps
SocioTM – Relevancies, Collaboration, and Socio-knowledge in Topic Maps
SocioTM – Relevancies, Collaboration, and Socio-knowledge in Topic Maps
SocioTM – Relevancies, Collaboration, and Socio-knowledge in Topic Maps
SocioTM – Relevancies, Collaboration, and Socio-knowledge in Topic Maps
SocioTM – Relevancies, Collaboration, and Socio-knowledge in Topic Maps
SocioTM – Relevancies, Collaboration, and Socio-knowledge in Topic Maps
SocioTM – Relevancies, Collaboration, and Socio-knowledge in Topic Maps
SocioTM – Relevancies, Collaboration, and Socio-knowledge in Topic Maps
SocioTM – Relevancies, Collaboration, and Socio-knowledge in Topic Maps
SocioTM – Relevancies, Collaboration, and Socio-knowledge in Topic Maps
SocioTM – Relevancies, Collaboration, and Socio-knowledge in Topic Maps
SocioTM – Relevancies, Collaboration, and Socio-knowledge in Topic Maps
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SocioTM – Relevancies, Collaboration, and Socio-knowledge in Topic Maps

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Topic Maps (TM) standard has solved a lot of problems in the information overload. With a semantic layer on the top of the existing data pools, TMs provide user-specific information interpretation and …

Topic Maps (TM) standard has solved a lot of problems in the information overload. With a semantic layer on the top of the existing data pools, TMs provide user-specific information interpretation and organization. However, one important component is missing in the TM standard and usage. This paper introduces SocioTM model; an extension of TM paradigm that includes relevancies, collaboration, and socio-knowledge (user-specific knowledge/behaviors) within TMs. The paper goes through relevancies implementation in SocioTM, relevancies building and population in SocioTM, relevancies interpretation, presentation, and navigation through SocioTM. Relevancies are presented on two levels: topic/ontology level and information (occurrences) level. The paper concludes with collaboration involvement in SocioTM building and with migration of socio-knowledge.

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  • Transcript

    • 1. Саша Рудан Relevancies, Collaboration, and Socio-knowledge in Topic Maps ( [email_address] ) ( [email_address] ) Синаша Рудан Socio TM
    • 2. Introduction /16 www.SocioTM.com, TMRA 2008, Leipzig www. KnowledgeFederation .com www. SocioTM .com Poliscopy Knowledge integration www. MemePolis .com www. KnAlledge .com www. Fuzzzy .com www. HeadWareSolutions .com www. MagicWandSolutions .com Independent developers
    • 3.
      • Users are interested in
        • Browsing in meta-data ( knowledge ) space
          • not information space
        • Topics that are more relevant
      • Users are looking for
        • not only knowledge but also
        • something cool, interesting, exciting, unknown
      • » la science pour la science «
        • Knowledge Isolation
      • TM knowledge is hard-typed, it is not fuzzy
      User/Our Objectives /16 www.SocioTM.com, TMRA 2008, Leipzig
    • 4.
      • Ubiquity phenomena
      • No talk about recommenders
        • Google news, Amazon, MovieLens, etc
      • Ranking topics of
        • the same class
        • different classes
      Relevancies, Ranking, Recommenders /16 www.SocioTM.com, TMRA 2008, Leipzig
    • 5.
      • Ranking support in TM
        • Scopes
        • Associations
      • Problems
        • Binary-like concepts
        • Hardcoded in ontology space
      • More fuzzy and general concept is needed
      State of The Art /16 www.SocioTM.com, TMRA 2008, Leipzig
    • 6.
      • Information and meta-data space huge and highly interconnected
      • Interconnections important for user
      • No need for real-time knowledge rebuilding
      • Need for structural concept of knowledge
      • Users:
        • Need data ranking and data recommendations
        • Need to individually affect knowledge and
        • Preferably even globally
        • Able to migrate with aggregated socio-knowledge
      Problem setting www.SocioTM.com, TMRA 2008, Leipzig /16
    • 7. SocioTM model
      • Relevancies on
        • Occurrence and
        • Topic map constructs
      • Behavioral prediction
      • Socio-knowledge migration
      Our approach
      • Global knowledge structure building
      • Unique vs. global knowledge
      • Mountain view
      • View-clipping
      /16 www.SocioTM.com, TMRA 2008, Leipzig
    • 8.
      • Global and Conceptual overview
      SocioTM Model (continued) www.SocioTM.com, TMRA 2008, Leipzig /12
    • 9.
      • Implementation
      • User implicit feedback
      • Relevance evolution
      Relevance population and creation www.SocioTM.com, TMRA 2008, Leipzig /16
    • 10.
      • f USER-NORMALIZING = f GROUP-PROFILE x f USER-PROFILE x f ST/LT-INTERESTS x f SEARCH-ITEM x f EXPLICIT-SOCIO-KNOLEDGE x f NAVIGATION x f TIME
      Relevance Evolution/Normalizing www.SocioTM.com, TMRA 2008, Leipzig /16
    • 11.
      • Building dynamic SocioTM
        • As copy of topic space
        • On-the-fly
      • Wide normalization
        • User profile
        • Short-term user interests
        • Search-item
        • User explicit socio-knowledge
      • Normalizing through navigation and time
      SocioTM Interpretation www.SocioTM.com, TMRA 2008, Leipzig /16
    • 12.
      • Challenges
        • Overloading
        • Navigation
        • Understanding
      • View-clipping
      • Mountain-view paradigm
      SocioTM Presentation www.SocioTM.com, TMRA 2008, Leipzig /16
    • 13. Socio-Potential Law
      • Blue Circle – search location
      • Red Ring – browsing location
      • a) - initial position, b) after fist navigation step
      • a1, b1) - non-evaluated, a2, b2) – evaluated
      www.SocioTM.com, TMRA 2008, Leipzig /16
    • 14.
      • Socio-knowledge migration
      • Needs for pre-populated user preferences for a new TM
      • Needs for global understanding user behaviors
      Collaboration within Topic Maps www.SocioTM.com, TMRA 2008, Leipzig /16
    • 15.
      • Introducing SocioTM into the existing systems
      • Vertical compatibility
      • Standardizing interface
      • Proxy implementation
      SocioTM Implementation www.SocioTM.com, TMRA 2008, Leipzig /16
    • 16.
      • Extend/add to TM standard
      • not just a business-logic module
      • Introducing fuzzy, multy-view knowledge
      • Living, user-affected knowledge
      Conclusion www.SocioTM.com, TMRA 2008, Leipzig /16
    • 17.
      • There is no standard defect but it is extension
      • Should we bother other users with our opinions?
      • Why it should be standard and not just business logic on the top of it?
      Opened (?) Questions www.SocioTM.com, TMRA 2008, Leipzig /16
    • 18.
      • Саша Рудан
      Relevancies, Collaboration, and Socio-knowledge in Topic Maps SocioTM ( [email_address] ) ( [email_address] ) Синаша Рудан T:hank you!

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