New Generation Computing, 19(2001)195-208
Ohmsha, Ltd. and Springer-Verlag

Tutorial Series on Web-computing 1
Information Gathering and Searching Approaches on the Web

Seiji YAMADA
Department of Computational Intelligence and Systems Science
Interdisciplinary Graduate School of Science and Engineering
Tokyo Institute of Technology
4259 Nagatsuta-cho, Midori-ku, Yokohama, 226-8502 Japan

yamada@ymd.dis.titech.ac.jp

Hiroyuki KAWANO
Department of Systems Science
Graduate School of Informatics, Kyoto University
Sakyo-ku, Yoshida-honmachi, Kyoto, 606-8501 Japan

kawano@i.kyoto-u.ac.jp

Received 15 November 2000

Abstract

The information accessible through the Internet is increasing explosively as the Web is getting more and more widespread. In this situation, the Web is indispensable information resource for both of information gathering and information searching. Though traditional information retrieval techniques have been applied to information gathering and searching in the Web, they are insufficient for this new form of information source. Fortunately some AI techniques can be straightforwardly applicable to such tasks in the Web, and many researchers are trying this approach. In this paper, we attempt to describe the current state of information gathering and searching technologies in the Web, and the application of AI techniques in the fields. Then we point out limitations of these traditional and AI approaches and introduce two approaches: navigation planning and a Mondou search engine for overcoming them. The navigation planning system tries to collect systematic knowledge, rather than Web pages, which are only pieces of knowledge. The Mondou search engine copes with the problems of the query expansion/modification based on the techniques of text/web mining and information visualization.

Keywords: The World Wide Web, Information Gathering, Web Search Engine.

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