The Research And Implementation Of Petroleum And Chemistry Specialized Web Intelligent Information Retrieval System

Nowadays the information in Internet is increasing rapidly and being updated in real time. How to acquire the needed information quickly and accurately is a main topic of the Web information retrieval technology.With the petroleum and chemistry background,this paper focus its research on a new specialized,catalogic and personalized intelligent Web information retrieval system based on meta-search engine,and gives a systematic implementation. This system provides an effective method to acquire info in Web for the petroleum and chemistry user. It increases the scope of acquiring information, and increases the precision of the search by integrating the agent technology of AI to realize the intelligent retrieval. In this system, the specialized and catalogic retrieval is realized by building the maintenance of specialized synonymous words and subject phrase. The meta-search engine interface receives the user's retrieval keyword and dispatches it to the search engines. Then the result of the search engines was dealed with by the automatic analyser. Consequently some useful information is acquired. To implement the personalized retrieval, this system firstly store the user's initial info into the database via the Frame Format, and the user's knowledge repository can be modified automaticly by user's retrieval information and the feedback information of the retrieval result. The filtration algorithm for the retrieval result is the VSM (Vector Space Model), at first transform the words of the retrieval result document and querying condition words into digital number by VSM algorithm, and then compute the angle of the vectors to appraise the similarity of the querying condition words and retrieval result document, furthermore, considering the factor of the authority Web site info and the weight of the retrieval result from the meta-search engine.