International Journal of Computational Intelligence Research (IJCIR)

Volume 3, Number 1 (2007)


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

Huilin Ye
School of Electrical Engineering and Computer Science The University of Newcastle, Callaghan, NSW 2308, Australia.


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.

Self-organising map, Software retrieval, Query refinement, Thesaurus.