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

Yujiao Zhou, Yavor Nenov, Bernardo Cuenca Grau, Ian Horrocks

AAAI 2014 pp. 1142-1148

doi:10.1609/AAAI.V28I1.8856 /aaai/2014/zhou2014aaai-pay/

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.

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Cite

Text

Zhou et al. "Pay-as-You-Go OWL Query Answering Using a Triple Store." AAAI Conference on Artificial Intelligence, 2014. doi:10.1609/AAAI.V28I1.8856

Markdown

[Zhou et al. "Pay-as-You-Go OWL Query Answering Using a Triple Store." AAAI Conference on Artificial Intelligence, 2014.](https://mlanthology.org/aaai/2014/zhou2014aaai-pay/) doi:10.1609/AAAI.V28I1.8856

BibTeX

@inproceedings{zhou2014aaai-pay,
  title     = {{Pay-as-You-Go OWL Query Answering Using a Triple Store}},
  author    = {Zhou, Yujiao and Nenov, Yavor and Grau, Bernardo Cuenca and Horrocks, Ian},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2014},
  pages     = {1142-1148},
  doi       = {10.1609/AAAI.V28I1.8856},
  url       = {https://mlanthology.org/aaai/2014/zhou2014aaai-pay/}
}