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Consequence-Based Reasoning beyond Horn Ontologies

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Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 1093-1097.

https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-187

Abstract

Consequence-based ontology reasoning procedures have so far been known only for Horn ontology languages. A difficulty in extending such procedures is that non-Horn axioms seem to require reasoning by case, which causes non-determinism in tableau-based procedures. In this paper we present a consequence-based procedure for ALCH that overcomes this difficulty by using rules similar to ordered resolution to deal with disjunctive axioms in a deterministic way; it retains all the favourable attributes of existing consequence-based procedures, such as goal-directed “one pass” classification, optimal worst-case complexity, and “pay-asyou- go” behaviour. Our preliminary empirical evaluation suggests that the procedure scales well to non-Horn ontologies.

Frantisek Simancik, Yevgeny Kazakov, and Ian Horrocks. 2011. Consequence-Based Reasoning beyond Horn Ontologies. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11. IJCAI, 1093–1097. https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-187
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