Web Mining and Its Applications to Researchers Support

Web Mining and Its Applications to Researchers Support

Web mining is a newly emerging research area concerned with analyzing the World Wide Web. It is concerned mainly with its content, structure and usage. As the Web is the largest storehouse of knowledge of our time it has become essential to learn how to exploit its potential. This report aims at presenting Web mining in the context of other scientific domains and it introduces its possible applications to the support of researchers. The areas discussed are numerous: data mining, topic detection, computational linguistics, ontologies, Web search engines, etc. Special attention is paid to Web page ranking methods. We also present our experiments with two algorithms for discovering repeated word sequences in texts. Throughout this report we underline deficiencies in the state-of-the-art knowledge which could serve as guidelines in our future research. Finally, we enumerate existing systems for research staff support and we sketch out a vision of the doctoral thesis.

Keywords: Data mining, web mining, text mining.

Year: 2005

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Authors of this publication:

Dalibor Fiala

Phone: +420 377 63 2429
E-mail: dalfia@kiv.zcu.cz
WWW: http://www.kiv.zcu.cz/~dalfia/

Dalibor is the research group coordinator and an associate professor at the Department of Computer Science and Engineering at the University of West Bohemia in Pilsen, Czech Republic. He is interested in data mining, web mining, information retrieval, informetrics, and information science.

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