The Key Technology Research On Deep Web Information Integration System

As the amount of information on the Web increases rapidly, the Web has been rapidly"deepened"by myriad searchable databases online, where data are hidden behind query interfaces.To integrate these Deep Web information,We build a Deep Web information integration system,which is used to find and search Web databases.The paper firstly refer to concept and generation reason of Deep Web,the key technology of Deep Web information integration system etc. Then We analyze related arithmetic and method. Afterwards, based on our research, we propose several algorithms for Deep Web search. My main research work includes:(1) A method of discovering Deep Web sites is proposed. And a novel algorithm of Deep Web query interface extraction by data source representation is proposed.(2) Refer to Deep Web data source clustering and classifying algorithm.(3) Refer to Deep Web data source dynamicly selecting algorithm and the method of mapping a user query to a set of Deep Web source query interfaces is proposed.(4) Provide the frame of Deep Web Information Integration system, at last we talk about merging query results.In the end, we design and implement a Deep Web information integration system frame--Deep Searcher. And on it a variety of experiments have been carried out. The analysises of experimental data indicate our methods are effective.