Improvement of Web-based service information systems using fuzzy linguistic techniques and Semantic Web technologies
نویسندگان
چکیده
The aim of this paper is to present a model of a web multi-agent system which combines the use of Semantic Web technologies together with the application of user profiles to provide an enhanced Web retrieval service. This system uses fuzzy linguistic techniques to deal with qualitative information in a userfriendly way. The system activity is developed in two phases: retrieval phase to gather the documents from the Web, and feedback phase to update the user profiles and the recommendation values of resources. In this paper we focus on the analysis of the retrieval phase. With this multi-agent system model the retrieval capabilities on the Web can be considerably increased.
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