Machine learning and data mining techniques are applied to acquire knowledge and build a concept reasoning network based on semantic dictionary and large training set.

The narration of ancient Chinese formalist critical theory relies mainly on sensible analogy,while 20th century Western formalist critical theory resorts more to conception reasoning.

This paper,in the light of related research,constructs a new concept network based on semantic analysis,and describes a text analyzing algorithm based on the concept network.

Two phrase structures,namely language description structure in correspondance with two genus structures namely——have been analyzed, And also the concept network that is supporting the understanding of two genus has been designed,as well as a series of concept operation algorithm,hence the match co.

To study the intelligentization of search tools for network education resources and provide personalized information service of intelligent agent system for students,the design and implementation of a personalized intelligent agent search engine is proposed based on the concept network and intelligent search agent technology under the background of current network education resource environment.