Gathering information on the Web using fuzzy linguistic agents and Semantic Web technologies

In this paper we define a model of a web multi-agent system that combines the use of Semantic Web technologies together with the application of user profiles to carry out information retrieval and filtering tasks. It is designed using fuzzy linguistic techniques which allow dealing with information in a user-friendly way. The system activity is developed in two phases: a retrieval phase to gather the documents from the Web and a feedback phase to update the elements used to filter the documents. We focus on the analysis of the feedback phase. With this multi-agent system model the filtering possibilities are increased and, consequently, also the retrieval capabilities on the Web.