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.
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1 September 2001
Technical Paper|
September 01 2001
PubSearch: a Web citation‐based retrieval system Available to Purchase
Yulan He;
Yulan He
Yulan He is Senior Tutor at the School of Computer Engineering, Nanyang Technological University, Nanyang, Singapore.
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Siu Cheung Hui
Siu Cheung Hui
Siu Cheung Hui is Associate Professor, at the School of Computer Engineering, Nanyang Technological University, Nanyang, Singapore.
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Publisher: Emerald Publishing
Online ISSN: 2054-166X
Print ISSN: 0737-8831
© MCB UP Limited
2001
Library Hi Tech (2001) 19 (3): 274–285.
Citation
He Y, Cheung Hui S (2001), "PubSearch: a Web citation‐based retrieval system". Library Hi Tech, Vol. 19 No. 3 pp. 274–285, doi: https://doi.org/10.1108/EUM0000000005889
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