The Research On Deep Web Data Integration Of Forestry Enterprise Yellow Page

With the rapid development of Internet technology, information in WWW is increasing explosively. Information retrieval is becoming more and more difficult as traditional search engine pay too much attention on recall ration instead of precision ratio. Topic-specific Deep Web sites contain rich topic-oriented information, but these Deep Web sites are always dispersed and isolated, so, Deep Web data integration technology gradually becomes hotspot. It can not only solve the limitation that traditional search engine can't crawl and index the Deep Web data, but also integrate all the isolated Deep Web data, and thus provide one-stop searching service. Forestry Deep Web faces the same problem, the integration of forestry enterprise yellow page can help people find the information more quickly, also, it can promote the development of forestry informatization and forestry economics.Through the observation and research on the Deep Web of forestry yellow page, this paper brought out a Deep Web spider model based on the hierarchical-structured-navigation rules, and designed a data extraction template. At the meantime, this paper did a deep research on the key technologies of Deep Web data integration, such as user identification verification, navigation URL extraction, page-turning URL extraction, dynamic field data extraction, duplicated data cleaning, and then gave the best solution based on various experiments, finally developed a high-applicable Forestry Enterprise Yellow Page Deep Web Data Integration System. In the end, this paper analyzed the improvement needed to be done in the future, gave a direction for future research.