Monitoring Partial Updates in Web Pages Using Relational Learning

This paper describes an automatic monitoring system that constantly checks partial updates in Web pages and notifies them to a user. 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 can not deal with partial updates like updates in a particular cell of a table in a Web page. Hence we developed a automatic monitoring system that checks such partial updates. A user can give a system regions in which he/she wants to know the updates in a Web page as training examples, and it is able to learn rules to identify the partial updates by relational learning. We implemented the system and some executed examples were presented.