Chinese Search Engine, Key Technology Research

This article firstly explores the conception, sort and history of search engine and explains the procedure, structure, basic theories and relative technologies of Chinese search engines while pointing out the defect and trend of Chinese search engine development.By analyzing the intention of user of search engine, this thesis builds a Sextet-set model bases on the theory of HNC. The model reduces the key words of users of search engine to the six elements that is generalized the time, the space, the background, the behavior and the result,then presents an algorithm of building the model.This thesis also put forward an algorithm of mining the semantic of document in The Internet, an matching algorithm of the second search bases on the Web digging and a new algorithm of sorting, they predigests the key words of search, reduces idle information and improves the association between key words of search and semantic of web page.Finally,this paper carries out a system of search engine by consulting the lucene system. We found an identical model of key words of consumers of Chinese search engine and information of web page in the Internet. Resolve the unanimous semantic conception problem between key words of users of Chinese search engine and article in the Internet.