A Fuzzy linguistic multi-agent model based on Semantic Web technologies

The Internet harbours a vast amount of information that does not cease to grow exponentially. To avoid arriving to a situation of collapse, the actual model of Web needs to incorporate tools capable to handle and manage efficiently this huge quantity of resources. The solutions that exist nowadays are shown little efficient since they oblige users to lose great part of their time in deciding which docu-ments are relevant and which not. Therefore it is becoming necessary to develop systems for searching and mining the Web that allow to improve the access to the information in an efficient way. At this moment, some of the more recurrent tech-nologies to face this problem deal with the development of intelligent software agents, the application of techniques of information filtering, and the development of the Semantic Web project