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SWRL Reasoning Using Decision Tables

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Abstract

Ontologies are widely used for representing and sharing knowledge specific to some domain. The Web Ontology Language (OWL) is a popular language for designing ontologies and has been extended with the Semantic Web Rule Language (SWRL) to enable the use of rules in OWL ontologies. However, reasoning with SWRL rules is a computationally complex task, making its use difficult in time-sensitive applications. Such applications usually rely on decision tables, a popular yet simple structure used for fast decision making. Decision tables however are limited to propositional rules, making it impossible to represent SWRL rules using universally quantified variables. In this paper, a technique is proposed to enable reasoning with decision tables for SWRL rules and OWL ontologies by exploiting the classes of the variables and entities. Experimental results show that for many settings, our technique offers faster reasoning speed when compared to a state of the art SWRL reasoner.

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Notes

  1. 1.

    http://www.zipc.com/product/ZIPC_R&B/index_e.html.

  2. 2.

    https://github.com/Galigator/openllet.

  3. 3.

    http://ri-www.nii.ac.jp/ADAS/index.html.

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Acknowledgements

This work was partially supported by the New Energy and Industrial Technology Development Organization (NEDO).

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Correspondence to Maxime Clement .

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Clement, M., Ichise, R. (2018). SWRL Reasoning Using Decision Tables. In: Faron Zucker, C., Ghidini, C., Napoli, A., Toussaint, Y. (eds) Knowledge Engineering and Knowledge Management. EKAW 2018. Lecture Notes in Computer Science(), vol 11313. Springer, Cham. https://doi.org/10.1007/978-3-030-03667-6_5

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  • DOI: https://doi.org/10.1007/978-3-030-03667-6_5

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