Please use this identifier to cite or link to this item: https://dspace.univ-ouargla.dz/jspui/handle/123456789/13794
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dc.contributor.authorsimilarity, measures-
dc.date.accessioned2017-04-26T10:53:18Z-
dc.date.available2017-04-26T10:53:18Z-
dc.date.issued2017-04-26-
dc.identifier.urihttp://dspace.univ-ouargla.dz/jspui/handle/123456789/13794-
dc.descriptionSeptième Colloque sur l’Optimisation et les Systèmes d’Information - COSI’2010en_US
dc.description.abstractAbstract. 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 proposeden_US
dc.language.isoenen_US
dc.subjectFlexible queriesen_US
dc.subjectempty answersen_US
dc.subjectsemantic distanceen_US
dc.subjectsimilarityen_US
dc.subjectmeasuresen_US
dc.subjectrelaxationen_US
dc.titleSupporting Failing Database Queries in a Flexible Context: A Data-Driven Approachen_US
dc.typeArticleen_US
Appears in Collections:2. Faculté des nouvelles technologies de l’information et de la communication

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