Supporting Failing Database Queries in a Flexible Context: A Data-Driven Approach

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DC Field	Value	Language
dc.contributor.author	Lila Oudjoudi1 and Allel Hadjali2	-
dc.date.accessioned	2013-12-19T14:46:10Z	-
dc.date.available	2013-12-19T14:46:10Z	-
dc.date.issued	2013-12-19	-
dc.identifier.issn	kh	-
dc.identifier.uri	http://hdl.handle.net/123456789/2759	-
dc.description	7 ieme Colloque sur l Optimisation et les Systèmes d’Information COSI 2010 18-20 Avril 2010	en_US
dc.description.abstract	We investigate the problem of handling of failing queries involving fuzzy predicates. We propose an approach that leverages data distribution of the target database. It consists in two steps: i) Query translation that aims at translating the failing fuzzy query into a crisp query by means of a particular semantic distance between sets; ii) Query relaxation which consists in expanding the translated query criteria with similar values. To rank-order the approximate query results, a method is proposed	en_US
dc.language.iso	fr	en_US
dc.subject	Flexible queries	en_US
dc.subject	empty answers	en_US
dc.subject	semantic distance	en_US
dc.subject	similarity measures	en_US
dc.subject	relaxation	en_US
dc.title	Supporting Failing Database Queries in a Flexible Context: A Data-Driven Approach	en_US
dc.type	Article	en_US
Appears in Collections:	1. Faculté des mathématiques et des sciences de la matière

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