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Pay-as-you-go OWL query answering using a triple store

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.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1609/aaai.v28i1.8856

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
ORCID:
0000-0002-2685-7462


Publisher:
AAAI Press
Host title:
Proceedings of the Twenty−Eigth AAAI Conference on Artificial Intelligence (AAAI−2014)
Pages:
1142-1148
Publication date:
2014-06-21
Event title:
Twenty-Eighth Conference on Artificial Intelligence (AAAI-14)
Event location:
Québec Convention Centre, Québec City, Québec, Canada
Event start date:
2014-07-27
Event end date:
2014-07-31
DOI:
EISSN:
2374-3468
ISSN:
2159-5399


Language:
English
Keywords:
UUID:
uuid:fc338550-37ef-4150-989f-0ab29d16a08c
Local pid:
cs:8752
Deposit date:
2015-03-31

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