A neural network based software retrieval system with fuzzy-related thesaurus

Title: A neural network based software retrieval system with fuzzy-related thesaurus
Creator: Ye, Huilin
Relation: International Journal of Computational Intelligence and Applications Vol. 3, Issue 1, p. 78-84
Relation: http://www.ripublication.com/ijcir/ijcirv3n1.htm
Publisher: Imperial College Press
Resource Type: journal article
Date: 2007
Description: The qualities of both the classification and retrieval queries have significant impacts on the retrieval performance of a software retrieval system. A classification scheme based on a Nested Self-Organising Map (NSOM) and a query refinement mechanism based on a fuzzy-related thesaurus were proposed to promote the qualities. An NSOM consists of a top map and a set of nested maps. The retrieval on the top map maintains high recall while the retrieval on the nested maps enhances precision. A fuzzy-related thesaurus can be generated from an NSOM. The user can reformulate an improved query by adding terms or replacing an original query term with an appropriate term stored in the thesaurus. The experimental results reveal that both the NSOM and query refinement significantly improved the retrieval performance.
Subject: self-organising map; software retrieval; query refinement; thesaurus
Identifier: http://hdl.handle.net/1959.13/926777
Identifier: uon:9943
Identifier: ISSN:1469-0268
Language: eng
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