Conference item
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
Actions
Access Document
- Files:
-
-
(Preview, Accepted manuscript, pdf, 261.1KB, Terms of use)
-
- Publisher copy:
- 10.1609/aaai.v28i1.8856
Authors
- 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
Terms of use
- Copyright holder:
- Association for the Advancement of Artificial Intelligence
- Copyright date:
- 2014
- Rights statement:
- Copyright © 2014, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
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