Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/926777

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Title
A neural network based software retrieval system with fuzzy-related thesaurus
Author/Creator
Ye, Huilin
Institution
The University of Newcastle. Faculty of Engineering & Built Environment, School of Electrical Engineering and Computer Science
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.
Relation
International Journal of Computational Intelligence and Applications Vol. 3, Issue 1, p. 78-84
Relation
http://www.ripublication.com/ijcir/ijcirv3n1.htm
Date
2007
Publisher
Imperial College Press
Keyword(s)
self-organising map;  software retrieval;  query refinement;  thesaurus
Resource Type
journal article
Identifier
http://hdl.handle.net/1959.13/926777
Identifier
ISSN:1469-0268
Reviewed
Reviewed
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Subject
"International Journal of Computational Intelligence and Applications"
 
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