PubSearch: a Web citation‐based retrieval system

Abstract

Many scientific publications are now available on the World Wide Web for researchers to share research findings. However, they tend to be poorly organised, making the search of relevant publications difficult and time‐consuming. Most existing search engines are ineffective in searching these publications, as they do not index Web publications that normally appear in PDF (portable document format) or PostScript formats. Proposes a Web citation‐based retrieval system, known as PubSearch, for the retrieval of Web publications. PubSearch indexes Web publications based on citation indices and stores them into a Web Citation Database. The Web Citation Database is then mined to support publication retrieval. Apart from supporting the traditional cited reference search, PubSearch also provides document clustering search and author clustering search. Document clustering groups related publications into clusters, while author clustering categorizes authors into different research areas based on author co‐citation analysis.

Citation

He, Y. and Cheung Hui, S. (2001), "PubSearch: a Web citation‐based retrieval system", Library Hi Tech, Vol. 19 No. 3, pp. 274-285. https://doi.org/10.1108/EUM0000000005889