The complexity of finite model reasoning in description logics

  • Authors:
  • Carsten Lutz;Ulrike Sattler;Lidia Tendera

  • Affiliations:
  • Institute for Theoretical Computer Science, TU Dresden, Germany;Department of Computer Science, University of Manchester, UK;Institute of Mathematics and Informatics, Opole University, Poland

  • Venue:
  • Information and Computation - Special issue: 19th international conference on automated deduction (CADE-19)
  • Year:
  • 2005

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Abstract

We analyse the complexity of finite model reasoning in the description logic ALCQI, i.e., ALC augmented with qualifying number restrictions, inverse roles, and general TBoxes. It turns out that all relevant reasoning tasks such as concept satisfiability and ABox consistency are EXPTIME-complete, regardless of whether the numbers in number restrictions are coded unarily or binarily. Thus, finite model reasoning with ALCQI is not harder than standard reasoning with ALCQI.