Research On Agent-Based Individualized Retrieval System In Examining & Approving System

Examining & Approving System is realized on Internet, so it has a great distributed information resource base. As Examining & Approving System developing, the information is growing fast and fast. We can design a Search Engine in Examining & Approving System for users to retrieval the information they need. But traditional Search Engine has it's a lot of flaws, such as information disorientation, don't focus on user's different needs. And the main reason is information engine lack knowledge processing and comprehensive ability. So I introduce the Agent technology into the Examining & Approving System with the hope to realize information retrieval personalized by Agent's qualities.The main content oncludes:1) This paper gives the design method of individualized information retrieval system base on Agent and gives a method to reduce the response time. 2) This paper builds a framework of the individualized information retrieval system base on Agent, and gives the core Agents of the system. Based on the framework, this paper does some research on the user model's presentation, building, and maintain; document model's presentation, building; matching Agent, docmentAnalysis Agent, informationfilter Agent's mechanism; Agents'communication and so on.3) This paper uses Gaia methodology to give the detail models of the individualized information retrieval system based on Agent technology. The models include role model, interaction model of analysis phase and Agent model, service model, acquaintance model of design phase..