A Fuzzy-Related Thesaurus for Query Refinement

Authors:
Huilin Ye;Hanchang Liu
Affiliations:
School of Electrical Engineering and Computer Science, The University of Newcastle, Callaghan, NSW 2308, Australia. e-mail: hye@cs.newcastle.edu.au;School of Design, Communication and Information Technology, The University of Newcastle, Callaghan, NSW 2308, Australia
Venue:
Neural Processing Letters
Year:
2004

Citing 9
Cited 0

Relational thesauri in information retrieval

Journal of the American Society for Information Science
Another look at automatic text-retrieval systems

Communications of the ACM
Introduction to information storage and retrieval systems

Information retrieval
A cooccurrence-based thesaurus and two applications to information retrieval

Information Processing and Management: an International Journal
Fast and effective query refinement

Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Image object classification using saccadic search, spatio-temporal pattern encoding and self-organisation

Pattern Recognition Letters
Self-Organizing Maps

Self-Organizing Maps
Introduction to Modern Information Retrieval

Introduction to Modern Information Retrieval
Using Iterative Refinement to Find Reusable Software

IEEE Software

Quantified Score

Hi-index	0.00

Visualization

Abstract

Query refinement is essential for information retrieval. In this study, a fuzzy-related thesaurus based query refinement mechanism is proposed. This thesaurus can be dynamically generated during the retrieval process for a document collection that is classified by an unsupervised neural network, the self-organising map. In contrast with general relational thesaurus, the fuzzy-related thesaurus is more effective and efficient. The relationships between the terms are based on the classification of a document collection, and thus, the generated thesaurus naturally has more power to enhance retrieval quality. The recognition of the relationships can be done automatically without human involvement, which significantly reduces the cost associated with the construction of the thesaurus. 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.