Research on the Organization of Heterogeneous WWW Information Space based on Meaning Understanding of Web Pages

点击翻译按钮获取中文摘要

The World Wide Web (WWW), which is heterogeneous but constitutes a huge information space connected via hyperlinks, becomes an important information infrastructure. Search engines are indispensable tools for the use of the WWW ; yet there exist strong needs for other advanced support functions. In this research, we have developed three systems for enhancing the utility and comprehensiveness of the WWW space based on the understanding of Web pages.The first one is Fish View system, which support each user to sort out many text data obtained from the WWW based on a user-dependent viewpoint and allows him/her to read those text data efficiently. The main feature of this system is a text matching mechanism called Fish Eye matching using dynamic word vectors based on the concept hierarchy of an electronic dictionary. The second system is Web Beholder, which detects meaningful changes on designated Web pages and their related pages, informs the occurrence of the change to users via email, and displays the changed parts visually if requested. While the WWW mainly provides the function of sharing stock-type information globally, newly appeared information is more valuable than other stock parts in general. This Web Beholder system allows to provide a new function of immediately transmitting now-type new information in the WWW space. The third one is Are View system, which extracts a small number (10〜30) of useful Web pages called core pages among many (hundreds or thousands) Web pages in a certain (academic) area such as artificial intelligence, molecular biology, etc. The core pages are extracted primarily using the number of referred links from others. The system can also weakly organize the messy Web space by associating many Web pages in an area to one of the core pages.