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Hitzler, Pascal ; Krötzsch, Markus ; Rudolph, Sebastian ; Tserendorj, Tuvshintur

Approximate OWL Instance Retrieval with SCREECH

08091.HitzlerPascal.Paper.1615.pdf (0.1 MB)


With the increasing interest in expressive ontologies for the Semantic Web, it is critical to develop scalable and efficient ontology reasoning techniques that can properly cope with very high data volumes. For certain application domains, approximate reasoning solutions, which trade soundness or completeness for increased reasoning speed, will help to deal with the high computational complexities which state of the art ontology reasoning tools have to face. In this paper, we present a comprehensive overview of the SCREECH approach to approximate instance retrieval with OWL ontologies, which is based on the KAON2 algorithms, facilitating a compilation of OWL DL TBoxes into Datalog, which is tractable in terms of data complexity. We present three different instantiations of the Screech approach, and report on experiments which show that the gain in efficiency outweighs the number of introduced mistakes in the reasoning process.

BibTeX - Entry

  author =	{Pascal Hitzler and Markus Kr{\"o}tzsch and Sebastian Rudolph and Tuvshintur Tserendorj},
  title =	{Approximate OWL Instance Retrieval with SCREECH},
  booktitle =	{Logic and Probability for Scene Interpretation },
  year =	{2008},
  editor =	{Anthony G. Cohn and David C. Hogg and Ralf M{\"o}ller and Bernd Neumann},
  number =	{08091},
  series =	{Dagstuhl Seminar Proceedings},
  ISSN =	{1862-4405},
  publisher =	{Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany},
  address =	{Dagstuhl, Germany},
  URL =		{},
  annote =	{Keywords: Description logics, automated reasoning, approximate reasoning, Horn logic}

Keywords: Description logics, automated reasoning, approximate reasoning, Horn logic
Collection: 08091 - Logic and Probability for Scene Interpretation
Issue Date: 2008
Date of publication: 23.10.2008

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