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        <identifier>oai:drops-oai.dagstuhl.de:1618</identifier>
        <datestamp>2024-03-06T11:07:58Z</datestamp>
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          <dc:title>Implementing probabilistic description logics: An application to image interpretation</dc:title>
          <dc:creator>Möller, Ralf</dc:creator>
          <dc:creator>Näth, Tobias H.</dc:creator>
          <dc:subject>Probabilistic description logics</dc:subject>
          <dc:subject>image interpretation probabilistic lexicographic entailment</dc:subject>
          <dc:description>This paper presents an application of an optimized&#13;
implementation of a probabilistic description logic defined&#13;
by Giugno and Lukasiewicz [9] to the domain of&#13;
image interpretation. This approach extends a description&#13;
logic with so-called probabilistic constraints&#13;
to allow for automated reasoning over formal ontologies&#13;
in combination with probabilistic knowledge. We&#13;
analyze the performance of current algorithms and investigate&#13;
new optimization techniques.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Ralf Möller and Tobias H. Näth</dc:contributor>
          <dc:date>2008</dc:date>
          <dc:relation>Is Part Of Dagstuhl Seminar Proceedings, Volume 8091, Logic and Probability for Scene Interpretation (2008)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/DagSemProc.08091.8</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-16186</dc:identifier>
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          <dc:language>eng</dc:language>
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