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Publication type: Article in Proceedings
Author: Carsten Lutz, Lutz Schröder
Editor: Fangzhen Lin, Ulrike Sattler, Miroslaw Truszczynski
Title: Probabilistic Description Logics for Subjective Uncertainty
Book / Collection title: Principles of Knowledge Representation and Reasoning (KR 2010)
Page(s): 393 – 403
Year published: 2010
Publisher: AAAI Press, Menlo Park, CA
Abstract: We propose a new family of probabilistic description logics (DLs) that, in contrast to most existing approaches, are derived in a principled way from Halpern’s probabilistic first-order logic. The resulting probabilistic DLs have a two-dimensional semantics similar to certain popular combinations of DLs with temporal logic and are well-suited for capturing subjective probabilities. Our main contribution is a detailed study of the complexity of reasoning in the new family of probabilistic DLs, showing that it ranges from PTIME for weak variants based on the lightweight DL EL to undecidable for some expressive variants based on the DL ALC.
PDF Version: http://www.informatik.uni-bremen.de/~lschrode/papers/probDL.pdf
Keywords: probabilistic description logic EL ALC
Status: Reviewed
Last updated: 07. 10. 2010

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