Cone Trees: animated 3D visualizations of hierarchical information
CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Laying out and visualizing large trees using a hyperbolic space
UIST '94 Proceedings of the 7th annual ACM symposium on User interface software and technology
The WebBook and the Web Forager: an information workspace for the World-Wide Web
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Improved algorithms for topic distillation in a hyperlinked environment
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Finding related pages in the World Wide Web
WWW '99 Proceedings of the eighth international conference on World Wide Web
Authoritative sources in a hyperlinked environment
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
Design of a Visualization Agent for WWW Information
Revised Papers from the PRICAI 2000 Workshop Reader, Four Workshops held at PRICAI 2000 on Advances in Artificial Intelligence
Incorporating a Navigation Tool into a WWW Browser
DS '98 Proceedings of the First International Conference on Discovery Science
H3: laying out large directed graphs in 3D hyperbolic space
INFOVIS '97 Proceedings of the 1997 IEEE Symposium on Information Visualization (InfoVis '97)
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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.