Research On Key Technology Of Deep Web Information Integration

With the rapid development of World Wide Web, the Web contains a great amount of information . One investigation shows that the information of Deep Web is more 500 times than Surface Web's. Therefore, integrating the vast information in Deep Web has become a new research hotspot in the Web information retrieval field.In this paper, some knowledge of study background and present status are introduced, and several research of Deep Web key technology are conducted.Firstly, the function of traditional focused crawler is improved, a focused crawler based on topic taxonomy is designed to conduct Deep Web query interface discovery. Secondly, the weight-based method to integrate Deep Web query interface is adopted. The method of 1:1 and n:m match processing are discussed, and model of the How-net conception is used to solve the similarity computing of label and attribute name and improve the weight-based method. Finally, introduction of mobile Agent technology to Deep Web query processing, a query processing framework based on mobile Agent is designed. The adoption of mobile Agent technology reduces the query processing module's demand of bandwidth and network delay, and provides a new thought to Deep Web distribution query processing.