The Study On A Model Of Chinese Information Search Engine Based On Mobile Agent

With the development of Internet, the information of net is more and more abundance. It is because of the distributed, opened and heterogeneous of Internet. At the same time, it makes users more and more difficult get information well and truly, i.e. "rich data poor information". So the information search engine is a necessary tool. How conveniently and exactly get required information is carried out in this paper.The author analyses and summarizes the research actuality and developing direction of information search engine in this paper. Having studied the Mobile Agent theory and technology, the author set up pattern of information search engine based on Mobile Agent. Then the author gives her viewpoints and some schedules on key technology. The author defines interfaces using IDL and designs a package according with MAF specifications. It can easily make mobile Agent operate on heterogeneous platforms. With applying DSST algorithm, mobile Agent can solve the problem of selecting router. Synthesizing advantages of centralized search engine and distributed search engine, through it that system obtains the best way that Agents mobile does. After statistics analysis, the author gets the mathematic pattern that Mobil Agent clones right times.According to the particularity of Chinese information, the author improves the MM word segmentation algorithm, and gained a preferable word segmentation algorithm. Simultaneity, applying the Data Mining and Agent technology, the author establishs the model of Chinese information search engine. By Agent classifying documents and algorithm category-level structure, the system is able to perform auto-classify. This system creates the pattern of users visiting. It combines technologies such as Data Mining, machine learning and so on. Upon date note file, and information in CGI, and requirements from users, and results of users browser, the system analyses the user's interested. Finally it positively researches and collects the information from Internet that is interested and useful to customers.