Research On Intelligent Fuzzy Query Algorithm Based On Keywords Extension

As known to all, most search engines are based on the technology of simple keyword matching. This way is associated as word-centered. It makes the search engine face the following deficiencies: mainly in the field of glossary relatedness issues, synonyms and compound issues and so on. On the basis in summing up of traditional search engine, This paper launches the research of a keyword-based expansion fuzzy query algorithm. And the solution of intelligent search engines is proposed. And conduct a series research of the theoretical and key technical which involved in the subject, mainly including the following work.Firstly, This paper analyse a systematic framework in detail according to the request of intelligent search system's realization. It mainly discusses the main function and work processes in detail of query module, information inquiry module and post-processing module. And this paper launches research on query algorithm based on keywords extension.Secondly, This paper launches the characteristic research of glossary relatedness keywords, synonyms keywords and compound keywords in depth. According to the characteristics of keyword relevance, the word association table is established. the data dictionary is divided into several categories, each category is divided into several sub-categories. The similarity of two words is measured by the distance between them; According to synonyms feature, the fuzzy thesaurus is established based on the well-known semantic dictionary WordNet, which is be used for synonyms of the fuzzy query expansion; According to the characteristics of compound words, the adjunct word of synthesis keywords and the center word of which is modified are expanded and restructured by the synonym dictionary table, and then generated new keywords to be used for searching.Thirdly, Through the analysis of the existing query expansion technique, proposed one kind based on the dynamic knowledge library's inquiry expansion system. Its main idea is:According to the keyword expansion algorithm to calculate similarity between the user original keyword query and the formation keyword group of extended treatment, according to similarity of descending into or modify the order to the knowledge Base. After have been used mang times, the system will accumulate much people's knowledge experience, gradually become a repository wich accords with the cognition rules of people.Finally, all the above mentioned algorithms are validated by experiments, and the experiment results are analyzed.