Information gathering and searching approaches on the Web

被引:0
|
作者
Seiji Yamada
Hiroyuki Kawano
机构
[1] Tokyo Institute of Technology,Department of Computational Intelligence and Systems Science Interdisciplinary Graduate School of Science and Engineering
[2] Kyoto University,Department of Systems Science Graduate School of Informatics
来源
New Generation Computing | 2001年 / 19卷
关键词
The World Wide Web; Information Gathering; Web Search Engine;
D O I
暂无
中图分类号
学科分类号
摘要
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 Al 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 aapproaches: 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.
引用
收藏
页码:195 / 208
页数:13
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