Tightly Integrated Probabilistic Description Logic Programs for the Semantic Web

  • Andrea Calì
  • Thomas Lukasiewicz
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4670)

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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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Andrea Calì
    • 1
  • Thomas Lukasiewicz
    • 2
    • 3
  1. 1.Facoltà di Scienze e Tecnologie Informatiche, Libera Università di BolzanoItaly
  2. 2.Dipartimento di Informatica e Sistemistica, Sapienza Università di RomaItaly
  3. 3.Institut für Informationssysteme, Technische Universität WienAustria

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