WWW Visualization Tools for Discovering Interesting Web Pages

  • Authors:
  • Hironori Hiraishi;Fumio Mizoguchi

  • Affiliations:
  • -;-

  • Venue:
  • Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
  • Year:
  • 2002

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, we describe three types of WWW Visualization tools based on the hyperbolic tree, the WWW Information Access System (WebMapper), the Interactive Browsing Support System (HANAVI), and Web Site Rating System (KAGAMI). WebMapper integrates structure visualization and retrieval of WWW information. It consists of hyperbolic tree visualization and attribute-value pair query manipulation, and provides a filtering function to reduce the size of the WWW information structure. HANAVI is an interactive version of WebMapper implemented by Java Applet to run on a general web browser. KAGAMI is an automatic web site rating system that outputs six evaluation parameters on a radar chart. It can promote the improvement of a web site and provide effective information of the web site. Our tools enable web browsing support and discovery of interesting pages and lead to creation of a more effective web site.