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. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Calì, A., & Lukasiewicz, T. (2007). Tightly integrated probabilistic description logic programs for the Semantic Web. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4670 LNCS, pp. 428–429). Springer Verlag. https://doi.org/10.1007/978-3-540-74610-2_30
Mendeley helps you to discover research relevant for your work.