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Large-scale Ontological Reasoning via Datalog

Published 21 Mar 2020 in cs.AI | (2003.09698v1)

Abstract: Reasoning over OWL 2 is a very expensive task in general, and therefore the W3C identified tractable profiles exhibiting good computational properties. Ontological reasoning for many fragments of OWL 2 can be reduced to the evaluation of Datalog queries. This paper surveys some of these compilations, and in particular the one addressing queries over Horn-$\mathcal{SHIQ}$ knowledge bases and its implementation in DLV2 enanched by a new version of the Magic Sets algorithm.

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Authors (2)

  1. Mario Alviano 
  2. Marco Manna 

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