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

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.

Citation

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, Vol. 28 No. 1, pp. 22-32. https://doi.org/10.1108/14684520410522420