Abstract
Querying large-scale databases may often lead to plethoric answers, even when fuzzy queries are used. To overcome this problem, we propose to strengthen the initial query with additional predicates, selected among predefined ones according mainly to their degree of semantic relationship with the initial query. In the approach we propose, related predicates are identified by mining a repository of previously executed queries. © 2014 Springer International Publishing.
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CITATION STYLE
Pivert, O., & Smits, G. (2014). Plethoric answers to fuzzy queries: A reduction method based on query mining. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8502 LNAI, pp. 295–304). Springer Verlag. https://doi.org/10.1007/978-3-319-08326-1_30
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