An efficient algorithm for reasoning over OWL EL ontologies with nominal schemas

Author:

Carral David1,Zalewski Joseph2,Hitzler Pascal2

Affiliation:

1. LIRMM, Inria , University of Montpellier, CNRS, 161 Rue Ada, 34095, Montpellier, France

2. Data Semantics Laboratory , Department of Computer Science, Kansas State University, 1701D Platt St., Manhattan, KS 66506, USA

Abstract

Abstract Nominal schemas have been proposed as an extension to Description Logics (DL), the knowledge representation paradigm underlying the Web Ontology Language (OWL). They provide for a very tight integration of DL and rules. Nominal schemas can be understood as syntactic sugar on top of OWL. However, this naive perspective leads to inefficient reasoning procedures. In order to develop an efficient reasoning procedure for the language ${\mathcal {E}\mathcal {L}\mathcal {V}^{++}}$, which results from extending the OWL profile language OWL EL with nominal schemas, we propose a transformation from ${\mathcal {E}\mathcal {L}\mathcal {V}^{++}}$ ontologies into Datalog-like rule programs that can be used for satisfiability checking and assertion retrieval. The use of this transformation enables the use of powerful Datalog engines to solve reasoning tasks over ${\mathcal {E}\mathcal {L}\mathcal {V}^{++}}$ ontologies. We implement and then evaluate our approach on several real-world, data-intensive ontologies, and find that it can outperform state-of-the-art reasoners such as Konclude and ELK. As a lesser side result we also provide a self-contained description of a rule-based algorithm for ${\mathcal {E}\mathcal {L}^{++}}$, which does not require a normal form transformation.

Publisher

Oxford University Press (OUP)

Subject

Logic,Hardware and Architecture,Arts and Humanities (miscellaneous),Software,Theoretical Computer Science

Reference43 articles.

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2. Pushing the $\mathcal {E}\mathcal {L}$ envelope further;Baader,2008

3. The combined approach to query answering in Horn;Carral,2018

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