KAGAMI: Web rating agent based on hyperlink structure

In recent years, Internet users have been able to benefit from the increased amount of information in the World Wide Web (WWW) space, However. information retrieval efficiency has decreased because of the increasingly complicated WWW. A fundamental solution has not been achieved, though the information retrieval efficiency has been improved by browsing support tools such as the Web Information Access System (WIAS). Web sites must be improved to achieve a fundamental solution. In this paper, we rate Web sites and clarify the problems using Web site rating agent KAGAMI (Japanese for "mirror") and present an index for Web site improvement. This system autonomously collects data using a Web robot and rates sites using the site structure based on the WIAS framework. Additionally, this system generates a report by various visualization and supports tor improving the Web site rating by this system.