Optimized query rewriting for OWL 2 QL

Chortaras, A; Trivela, D; Stamou, G

dc.contributor.author	Chortaras, A	en
dc.contributor.author	Trivela, D	en
dc.contributor.author	Stamou, G	en
dc.date.accessioned	2014-03-01T02:53:24Z
dc.date.available	2014-03-01T02:53:24Z
dc.date.issued	2011	en
dc.identifier.issn	03029743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/36298
dc.subject	DL-Lite	en
dc.subject	OWL 2 QL	en
dc.subject	query answering	en
dc.subject	query rewriting	en
dc.subject.other	DL-Lite	en
dc.subject.other	First-order	en
dc.subject.other	OWL 2 QL	en
dc.subject.other	Query answering	en
dc.subject.other	Query rewritings	en
dc.subject.other	User query	en
dc.subject.other	Algorithms	en
dc.subject.other	Automation	en
dc.subject.other	Optimization	en
dc.title	Optimized query rewriting for OWL 2 QL	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-642-22438-6_16	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-642-22438-6_16	en
heal.publicationDate	2011	en
heal.abstract	The OWL 2 QL profile has been designed to facilitate query answering via query rewriting. This paper presents an optimized query rewriting algorithm which takes advantage of the special characteristics of the query rewriting problem via first-order resolution in OWL 2 QL and computes efficiently the rewriting set of a user query, by avoiding blind and unnecessary inferences, as well as by reducing the need for extended subsumption checks. The evaluation shows that in several cases the algorithm achieves a significant improvement and better practical scalability if compared to other similar approaches. © 2011 Springer-Verlag Berlin Heidelberg.	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
dc.identifier.doi	10.1007/978-3-642-22438-6_16	en
dc.identifier.volume	6803 LNAI	en
dc.identifier.spage	192	en
dc.identifier.epage	206	en