SocioTM – Relevancies, Collaboration, and Socio-knowledge in Topic Maps
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SocioTM – Relevancies, Collaboration, and Socio-knowledge in Topic Maps - Presentation Transcript
- Саша Рудан Relevancies, Collaboration, and Socio-knowledge in Topic Maps ( [email_address] ) ( [email_address] ) Синаша Рудан Socio TM
- 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
- 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
- Ubiquity phenomena
- No talk about recommenders
- Google news, Amazon, MovieLens, etc
- Ranking topics of
- the same class
- different classes
- Ranking support in TM
- Scopes
- Associations
- Problems
- Binary-like concepts
- Hardcoded in ontology space
- More fuzzy and general concept is needed
- 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
- SocioTM model
- Relevancies on
- Occurrence and
- Topic map constructs
- Behavioral prediction
- Socio-knowledge migration
- Global knowledge structure building
- Unique vs. global knowledge
- Mountain view
- View-clipping
- Global and Conceptual overview
- Implementation
- User implicit feedback
- Relevance evolution
- 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
- 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
- Challenges
- Overloading
- Navigation
- Understanding
- View-clipping
- Mountain-view paradigm
- 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
- Socio-knowledge migration
- Needs for pre-populated user preferences for a new TM
- Needs for global understanding user behaviors
- Introducing SocioTM into the existing systems
- Vertical compatibility
- Standardizing interface
- Proxy implementation
- Extend/add to TM standard
- not just a business-logic module
- Introducing fuzzy, multy-view knowledge
- Living, user-affected knowledge
- 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?
- Саша Рудан
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