Implementing probabilistic description logics: An application to image interpretation

Authors Ralf Möller, Tobias H. Näth



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Ralf Möller
Tobias H. Näth

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Ralf Möller and Tobias H. Näth. Implementing probabilistic description logics: An application to image interpretation. In Logic and Probability for Scene Interpretation. Dagstuhl Seminar Proceedings, Volume 8091, pp. 1-6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008) https://doi.org/10.4230/DagSemProc.08091.8

Abstract

This paper presents an application of an optimized
implementation of a probabilistic description logic defined
by Giugno and Lukasiewicz [9] to the domain of
image interpretation. This approach extends a description
logic with so-called probabilistic constraints
to allow for automated reasoning over formal ontologies
in combination with probabilistic knowledge. We
analyze the performance of current algorithms and investigate
new optimization techniques.

Subject Classification

Keywords
  • Probabilistic description logics
  • image interpretation probabilistic lexicographic entailment

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