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Tightly Integrated Probabilistic Description Logic Programs for the Semantic Web

Abstract:

We present a novel approach to probabilistic description logic programs for the Semantic Web, where a tight integration of disjunctive logic programs under the answer set semantics with description logics is generalized by probabilistic uncertainty. The approach has a number of nice features. In particular, it allows for a natural probabilistic data integration and for a natural representation of ontology mappings under probabilistic uncertainty and inconsistency. It also provides a natural integration of a situation-calculus based language for reasoning about actions with both description logics and probabilistic uncertainty.

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Publisher:
Springer
Host title:
Proceedings of the 23rd International Conference on Logic Programming‚ ICLP 2007‚ Porto‚ Portugal‚ September 8−13‚ 2007
Volume:
4670
Publication date:
2007-01-01
ISBN:
9783540746089


UUID:
uuid:0658acb3-d9aa-494d-9bef-545d2f89cd27
Local pid:
cs:6665
Deposit date:
2015-03-31
ARK identifier:

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