Pay-As-You-Go OWL Query Answering Using a Triple Store

Authors

  • Yujiao Zhou University of Oxford
  • Yavor Nenov University of Oxford
  • Bernardo Cuenca Grau University of Oxford
  • Ian Horrocks University of Oxford

DOI:

https://doi.org/10.1609/aaai.v28i1.8856

Keywords:

Ontologies, query answering, Datalog, Description Logic

Abstract

We present an enhanced hybrid approach to OWL query answering that combines an RDF triple-store with an OWL reasoner in order to provide scalable pay-as-you-go performance. The enhancements presented here include an extension to deal with arbitrary OWL ontologies, and optimisations that significantly improve scalability. We have implemented these techniques in a prototype system, a preliminary evaluation of which has produced very encouraging results.

AAAI 2014 Proceedings Cover

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Published

2014-06-21

How to Cite

Zhou, Y., Nenov, Y., Cuenca Grau, B., & Horrocks, I. (2014). Pay-As-You-Go OWL Query Answering Using a Triple Store. Proceedings of the AAAI Conference on Artificial Intelligence, 28(1). https://doi.org/10.1609/aaai.v28i1.8856

Issue

Vol. 28 No. 1 (2014): Twenty-Eighth AAAI Conference on Artificial Intelligence

Section

AAAI Technical Track: Knowledge Representation and Reasoning