Monitoring Partial Updates in Web Pages Using Relational Learning

摘要

This paper describes an automatic monitoring system that constantly checks partial updates in Web pages and notifies the user about them. While one of the most important advantages of the WWW is frequent updates of Web pages, we need to constantly check them out and this task may take much cognitive load. Unfortunately applications to automatically check such updates cannot deal with partial updates like updates in a particular cell of a table in a Web page. Hence we developed an automatic monitoring system that checks such partial updates. The user can give a system regions in which he/she wants to know the updates in a Web page as training examples, and the system is able to learn rules to identify the partial updates by relational learning. We implemented the system and some executed examples were presented.