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Towards ontology language handling imperfection

Towards ontology language handling imperfection. Alan Eckhardt, Peter Vojtáš WIKT 2006. DL and Web modelling ( časť prezentácie z ISWC06 ). DL basis for OWL Value restriction has to be reconsidered EL DL sufficient for applications EL querying in poly time

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Towards ontology language handling imperfection

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  1. Towards ontology language handling imperfection Alan Eckhardt, Peter Vojtáš WIKT 2006

  2. DL and Web modelling (časť prezentácie z ISWC06) • DL basis for OWL • Value restriction has to be reconsidered • EL DL sufficient for applications • EL querying in poly time • Extension to user preference modelse.g. a user looking for a cheap hotel close to a beach • Aggregation of particular attribute preferences to global preference • Top-k answers A.Eckhardt, P. Vojtáš

  3. Uncertainty in Web Modelling • Probabilistic models in SW • Fuzzy logic models SW • Fuzzy EL - fuzzy concepts • - crisp roles • - fuzzy aggregation • Enables concepts like @( price.cheap, distance.close) • Problem of learning @ for each user A.Eckhardt, P. Vojtáš

  4. Description logic – classical AL* interpretation EL A.Eckhardt, P. Vojtáš

  5. Description logic – full fuzzification – U. Straccia syntax Fuzzy interpretation Which t-norm t-conorm? A.Eckhardt, P. Vojtáš

  6. Bayesian networks (slide z článku s M. Vomlelovou) • Graph represents relations between variables • Conditional probabilities • Typical use: • We know: A=2, C=2 • We ask for: P(B|A=2,C=2) A.Eckhardt, P. Vojtáš

  7. From FILP, IGAP to BN (slide z článku s M. Vomlelovou a T. Horváthom) A.Eckhardt, P. Vojtáš

  8. Bayesian EL DL and others • Concepts are r. v. over preference scale • Roles are crisp / certain • Aggregation = combination function • Integrated with fEL, classical EL , … A.Eckhardt, P. Vojtáš

  9. Conclusion • Sharing ideas • Ideas supported by an analogy working in LP and simple experiments • Further development of formal model experiments OWL extension • Questions, comments, … A.Eckhardt, P. Vojtáš

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