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Optimizing Terminological Reasoning for Expressive Description Logics

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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++.

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  1. School of Computer Science, University of Manchester, Manchester, UK

    Dmitry Tsarkov & Ian Horrocks

  2. Bell Labs Research, Alcatel-Lucent, Murray Hill, NJ, USA

    Peter F. Patel-Schneider

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  1. Dmitry Tsarkov
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  2. Ian Horrocks
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  3. Peter F. Patel-Schneider
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Tsarkov, D., Horrocks, I. & Patel-Schneider, P.F. Optimizing Terminological Reasoning for Expressive Description Logics. J Autom Reasoning 39, 277–316 (2007). https://doi.org/10.1007/s10817-007-9077-y

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