License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
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DOI: 10.4230/DagSemProc.08091.8
URN: urn:nbn:de:0030-drops-16186
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2008/1618/
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Möller, Ralf ; Näth, Tobias H.

Implementing probabilistic description logics: An application to image interpretation

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08091.MoellerRalf.ExtAbstract.1618.pdf (0.2 MB)

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.

BibTeX - Entry

@InProceedings{moller_et_al:DagSemProc.08091.8,
  author =	{M\"{o}ller, Ralf and N\"{a}th, Tobias H.},
  title =	{{Implementing probabilistic description logics: An application to image interpretation}},
  booktitle =	{Logic and Probability for Scene Interpretation},
  pages =	{1--6},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8091},
  editor =	{Anthony G. Cohn and David C. Hogg and Ralf M\"{o}ller and Bernd Neumann},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2008/1618},
  URN =		{urn:nbn:de:0030-drops-16186},
  doi =		{10.4230/DagSemProc.08091.8},
  annote =	{Keywords: Probabilistic description logics, image interpretation probabilistic lexicographic entailment}
}

Keywords: Probabilistic description logics, image interpretation probabilistic lexicographic entailment
Collection: 08091 - Logic and Probability for Scene Interpretation
Issue Date: 2008
Date of publication: 23.10.2008

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