Evaluation of query rewriting approaches for OWL 2
Evaluation of query rewriting approaches for OWL 2
Query answering over ontologies is a crucial feature in contexts such as ontology-based data access and semantic information integration. There is considerable research interest in using query rewriting for efficient and scalable query answering: instead of evaluating a given query over the ontology with the (potentially very large) data directly, one rewrites the query with respect to the relevant knowledge in the ontology, and delegates the evaluation of the computed rewriting to a (possibly deductive) database system where the data resides. In this paper we examine the performance and scalability of producing unions of conjunctive queries versus datalog queries as rewritings. We present an empirical comparison between two representative approaches that consider very expressive ontology languages.
Pérez-Urbina, Héctor
5d65151b-0dad-461c-8174-f41711fa2d89
Rodriguez-Diaz, Edgar
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Grove, Michael
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Konstantinidis, George
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Sirin, Evren
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2012
Pérez-Urbina, Héctor
5d65151b-0dad-461c-8174-f41711fa2d89
Rodriguez-Diaz, Edgar
67105433-1f34-423f-bb53-a5c10fd6aa93
Grove, Michael
affd0d79-e781-4b7a-a27a-1650e744ae91
Konstantinidis, George
f174fb99-8434-4485-a7e4-bee0fef39b42
Sirin, Evren
7332954e-e991-4157-a76b-1b07b814d9a1
Pérez-Urbina, Héctor, Rodriguez-Diaz, Edgar, Grove, Michael, Konstantinidis, George and Sirin, Evren
(2012)
Evaluation of query rewriting approaches for OWL 2.
Joint Workshop on Scalable and High-Performance Semantic Web Systems (SSWS+ HPCSW 2012), , Boston, United States.
32 pp
.
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Conference or Workshop Item
(Paper)
Abstract
Query answering over ontologies is a crucial feature in contexts such as ontology-based data access and semantic information integration. There is considerable research interest in using query rewriting for efficient and scalable query answering: instead of evaluating a given query over the ontology with the (potentially very large) data directly, one rewrites the query with respect to the relevant knowledge in the ontology, and delegates the evaluation of the computed rewriting to a (possibly deductive) database system where the data resides. In this paper we examine the performance and scalability of producing unions of conjunctive queries versus datalog queries as rewritings. We present an empirical comparison between two representative approaches that consider very expressive ontology languages.
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Published date: 2012
Venue - Dates:
Joint Workshop on Scalable and High-Performance Semantic Web Systems (SSWS+ HPCSW 2012), , Boston, United States, 2012-11-11
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Local EPrints ID: 504286
URI: http://eprints.soton.ac.uk/id/eprint/504286
PURE UUID: dae7c0d1-95f3-4f4b-85e3-eae13c1e5820
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Date deposited: 02 Sep 2025 17:09
Last modified: 02 Sep 2025 17:09
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Contributors
Author:
Héctor Pérez-Urbina
Author:
Edgar Rodriguez-Diaz
Author:
Michael Grove
Author:
George Konstantinidis
Author:
Evren Sirin
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