Document retrieval from a citation database using conceptual clustering and co‐word analysis

Hui, S.C. and Fong, A.C.M. (2004) Document retrieval from a citation database using conceptual clustering and co‐word analysis. Online Information Review, 28(1), pp. 22-32. (doi: 10.1108/14684520410522420)

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Publisher's URL: http://dx.doi.org/10.1108/14684520410522420

Abstract

Traditional document retrieval techniques are ineffective in finding relevant documents due to a lack of semantic understanding of relevance. In this article, two techniques are described – conceptual clustering and co‐word analysis – aimed at injecting intelligence into the retrieval of documents stored in a citation database. Performance analysis has revealed that these techniques are better than traditional lexical analysis in terms of retrieval speed and accuracy.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Fong, Dr Alvis Cheuk Min
Authors: Hui, S.C., and Fong, A.C.M.
College/School:College of Science and Engineering > School of Computing Science
Journal Name:Online Information Review
Publisher:Emerald Group Publishing
ISSN:1468-4527
ISSN (Online):1468-4535

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