Internet-based Intelligent Information Mining System Modeling And Key Technologies

To push forward the Internet application level, and enlarge data source of data warehouse based decision support systems in manufacturing enterprises, after studying Internet intelligent searching, Internet information extraction, data warehouse, data warehouse based OLAP and mining, distributed component technology, a data warehouse based manufacturing enterprise oriented knowledge mining and decision analysis supporting system is creatively put forward, which takes Internet as the major source of data. First, searching subject related Web pages from Internet by subject oriented focused spider. Second, extracting subject related information from these Web pages by classified wrapper and store it locally. Then, local data is transferred into a data warehouse based storing system and reconstructed. Finally, by searching, report forms, OLAP, data mining, knowledge is found and shown.The thesis is focused on several aspects, as following:Function model and structure model of the system. Function model of the system is put forward and divided into function modules. Structure model of the system and all its modules is also described.Key technologies and their methods, algorithms. Technologies of subject oriented focused Internet searching, information extraction from Web page, ODS based data warehouse architecture, "four repositories architecture" based intelligent decision support system are studied in detail, as well as their implementation methods and algorithms.Implementation. By a data warehouse based system-Comprehensive Information Access System, for Chengdu Aircraft Industrial. Group Co.Ltd with data from the enterprise internal, we carried out the data warehouse, the "four repositories architecture" based intelligent decision support system model, which are part of the system this thesis presents.The system will launch an advanced pattern of Internet application, exploit a new domain of Internet application for manufacturing enterprises, and offer a new approach for enterprise information integration. The model can be used extensively to many other domains such as finance, stock, telecom, government, source, traffic, retail, bank, medical, education and so on. It also can be referred by Internet information application, and to quicken development.The system is feasible according our academic and practical research. Due to the complexity of Web pages themselves, it is difficult to extract information from them automatically. But we can expect that with the development of information expression technology, the next generation Internet will make information extraction \easy.