Intelligent web content filtering system using MAS

Abstract

The World Wide Web (WWW) has become infinite repository of information over the world because of the vast amount of information that they can gain. Also the access to the web enables any user easily to get information anytime and anywhere. But with these advantages, there is also some disadvantages such as the some websites contains harmful material like terrorism, hate, violence, and pornographic. Therefore developing a system that can filter these contents is become necessary. In this paper we introduce a web content filtering using multi agents, in this system we used FCM algorithm and some webpage feature in classification process. Experimental results based on (2000) different websites are given us an efficient results. On the testing set, the system was able to achieve correct acceptance and reject of (97.5). English pornographic websites uses as a case study.