Mondou: Interface with Text Data Mining for Web Search Engine

  • Authors:
  • Hiroyuki Kawano;Toshiharu Hasegawa

  • Affiliations:
  • -;-

  • Venue:
  • HICSS '98 Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences-Volume 5 - Volume 5
  • Year:
  • 1998

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Abstract

In order to submit queries to web search engines, we have to carefully choose the suitable combination of keywords. Without rich background knowledge about keywords in web documents, it is too difficult to find out invaluable URLs by search engines. In this paper, with applying techniques of text data mining to the web resource discovery, we try to derive associative keywords by extended association algorithm. We explain our developed interface of web resource discovery system using association rules, which are derived from the cluster of Japanese HTML pages in the text database. This paper also includes a brief discussion of evaluation of "Mondou'' system and java applet in order to visualize search results with multi-dimensional measurements.