Paper Info
Title
Trimming plethoric answers to fuzzy queries: an approach based on predicate correlation
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.
Year
DOI
Venue
2010
10.1007/978-3-642-14049-5_61
IPMU
Keywords
Field
DocType
initial query,retrieving data,semantic correlation,predicate correlation,semantic scope,plethoric answer,fuzzy query,deep modification,large-scale databases,correlation
Information retrieval,Computer science,Fuzzy logic,Correlation,Predicate (grammar),Trimming
Conference
ISBN
Citations 
PageRank 
3-642-14048-3
2
0.37
References 
Authors
8
4
Name
Order
Citations
PageRank
Patrick Bosc160175.23
Allel Hadjali239149.62
Olivier Pivert3891101.81
Grégory Smits46618.17