Integrating Information Visualization and Retrieval for Discovering Internet Sources

  • Authors:
  • Hayato Ohwada;Fumio Mizoguchi

  • Affiliations:
  • -;-

  • Venue:
  • DS '00 Proceedings of the Third International Conference on Discovery Science
  • Year:
  • 2000

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Abstract

One of the important technologies in knowledge discovery is to access the desired information from the large amount of data stored on the WWW. At present, such information can be accessed by a browser itself or by using a keyword search function. However, browsing is a time consuming task where a user must access individual pages one by one. Furthermore, it is hard for users to provide reasonable keywords to discover their desired pages in general. This paper outlines an approach of integrating information visualization and retrieval to improve effectiveness WWW information access. In this approach, the link structure of WWW is displayed in a 3-D hyperbolic tree in which the height of a node within the tree indicates a user's "interestingness". Here, interestingness is calculated by a fitting function between a page and user-supplied keywords, and this measure can be used to filter irrelevant pages, reducing the size of the link structure. Such functions are incorporated within our browser, allowing us to discover desired pages from a large web site incrementally. Relatively large web sites were selected to show the performance of the proposed method with improved accuracy and effciency in WWW information access.