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.
This work has been partially supported by the project P18146-N04 of the FWF, a Heisenberg Professorship of the DFG, and the STREP FET project TONES (FP6-7603) of the EU.
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References
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Calì, A., Lukasiewicz, T. (2007). Tightly Integrated Probabilistic Description Logic Programs for the Semantic Web. In: Dahl, V., Niemelä, I. (eds) Logic Programming. ICLP 2007. Lecture Notes in Computer Science, vol 4670. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74610-2_30
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DOI: https://doi.org/10.1007/978-3-540-74610-2_30
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