Trimming plethoric answers to fuzzy queries: an approach based on predicate correlation

Authors:
Patrick Bosc;Allel Hadjali;Olivier Pivert;Grégory Smits
Affiliations:
Irisa ENSSAT, Univ. Rennes 1, Lannion, France;Irisa ENSSAT, Univ. Rennes 1, Lannion, France;Irisa ENSSAT, Univ. Rennes 1, Lannion, France;Irisa IUT Lannion, Univ. Rennes 1, Lannion, France
Venue:
IPMU'10 Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty
Year:
2010

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Abstract

Retrieving data from large-scale databases often leads to plethoric answers. To overcome this problem, we propose an approach which selects a set of predicates that the user may use for intensifying his/her query. These predicates are selected among predefined ones according principally to their degree of semantic correlation with the initial query in order to avoid a deep modification of its semantic scope.