Towards ontology language handling imperfection
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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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Towards ontology language handling imperfection

Towards ontology language handling imperfection

Alan Eckhardt, Peter Vojtáš

WIKT 2006


Dl and web modelling as prezent cie z iswc06

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


Uncertainty in web modelling

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


Towards ontology language handling imperfection

Description logic – classical

AL*

interpretation

EL

A.Eckhardt, P. Vojtáš


Towards ontology language handling imperfection

Description logic – full fuzzification – U. Straccia

syntax

Fuzzy

interpretation

Which

t-norm

t-conorm?

A.Eckhardt, P. Vojtáš


Bayesian networks slide z l nku s m vomlelovou

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


From filp igap to bn slide z l nku s m vomlelovou a t horv thom

From FILP, IGAP to BN (slide z článku s M. Vomlelovou a T. Horváthom)

A.Eckhardt, P. Vojtáš


Bayesian el dl and others

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


Conclusion

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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