Improving semantic query answering

  • Authors:
  • Norbert Kottmann;Thomas Studer

  • Affiliations:
  • Institut für Informatik und angewandte Mathematik, Universität Bern, Bern, Switzerland;Institut für Informatik und angewandte Mathematik, Universität Bern, Bern, Switzerland

  • Venue:
  • DEXA'07 Proceedings of the 18th international conference on Database and Expert Systems Applications
  • Year:
  • 2007

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Abstract

The retrieval problem is one of the main reasoning tasks for knowledge base systems. Given a knowledge base K and a concept C, the retrieval problem consists of finding all individuals a for which K logically entails C(a). We present an approach to answer retrieval queries over (a restriction of) OWL ontologies. Our solution is based on reducing the retrieval problem to a problem of evaluating an SQL query over a database constructed from the original knowledge base. We provide complete answers to retrieval problems. Still, our system performs very well as is shown by a standard benchmark.