Extending Consequence-Based Reasoning to SRIQ

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Authors Andrew Bate, Boris Motik, Bernardo Cuenca Grau, Frantiőek Simančík, Ian Horrocks arXiv ID 1602.04498 Category cs.AI: Artificial Intelligence Citations 24 Venue Description Logics Last Checked 4 months ago
Abstract
Consequence-based calculi are a family of reasoning algorithms for description logics (DLs), and they combine hypertableau and resolution in a way that often achieves excellent performance in practice. Up to now, however, they were proposed for either Horn DLs (which do not support disjunction), or for DLs without counting quantifiers. In this paper we present a novel consequence-based calculus for SRIQ---a rich DL that supports both features. This extension is non-trivial since the intermediate consequences that need to be derived during reasoning cannot be captured using DLs themselves. The results of our preliminary performance evaluation suggest the feasibility of our approach in practice.
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