A SOM-based query refinement mechanism

Authors:
Huilin Ye;Hanchang Liu
Affiliations:
School of Electrical Engineering and Computer Science, The University of Newcastle, Callaghan, NSW 2308, Australia;Graduate College of Management, Southern Cross University, Lismore, NSW 2480, Australia
Venue:
Design and application of hybrid intelligent systems
Year:
2003

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Abstract

In this study, a query refinement mechanism based on the Self-Organising Map (SOM) is proposed. SOM has been extensively in document classification. Based on the classification result, a fuzzy-related thesaurus can be derived for query refinement. In contrast with general relational thesanrus, the fuzzy-related thesaurus is more effective and efficient. The relationships between the terms are based on the classification of the document collection, and thus, the generated relationships among the terms have more power to enhance retrieval quality. The recognition of the relationships can be done automatically without human involvement. This will significantly reduces the cost associated with the effort devoted to manually identifying the relationships. An evaluation on the query refinement mechanism based on the fuzzy-related thesaurus has conducted and the preliminary result is promising. A significant improvement on retrieval performance was observed when a fuzzy-related thesaurus was used for query refinement for a software document collection.