Research of science and engineering needs the latest information from Internet resources. But it is a complex and repeated procedure to search and filter web documents from huge Internet resources. In this paper we propose the PREA system, which can organize research paper database and search World Wide Web documents that the user is interested in. It observes use of the local paper database and presented web documents and then constructs a profile. To make a profile we used spreading activation network so that PREA can search and filter web documents by semantic meaning of user's interest. The system constructed in multi-agents manner that can cooperate together effectively. The results show effectiveness of our system to search web documents compared with a commercial search engine.
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