Optimizing Terminological Reasoning for Expressive Description Logics

  • Authors:
  • Dmitry Tsarkov;Ian Horrocks;Peter F. Patel-Schneider

  • Affiliations:
  • School of Computer Science, University of Manchester, Manchester, UK;School of Computer Science, University of Manchester, Manchester, UK;Bell Labs Research, Alcatel-Lucent, Murray Hill, USA

  • Venue:
  • Journal of Automated Reasoning
  • Year:
  • 2007

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Abstract

Tableau algorithms are currently the most widely used and empirically the fastest algorithms for reasoning in expressive description logics, including the important description logics $\mathcal{SHIQ}$ and $\mathcal{SHOIQ}$ . Achieving a high level of performance on terminological reasoning in expressive description logics when using tableau-based algorithms requires the incorporation of a wide variety of optimizations. The description logic system FaCT++ implements a wide variety of such optimizations, some present in other reasoners and some novel or refined in FaCT++.