Analysis and study on the association of Website based on named entities of Websites
Bo Gao, Zhiqin Zha
COMPUTER MODELLING & NEW TECHNOLOGIES 2014 18(12B) 629-632
Chang Zhou Institute of Technology ChangZhou 213002, China
The vertical search engine is searched more in-depth with the professional website, it search in-depth into an industry, and depth mining for information need to use more technology and achieve it. This paper presents an analysis method based on the relation of the named entities for the professional website: use the traditional high-frequency words as features of webpage in a website, and then analysis the relation between the named entities. This method first uses extraction algorithm extracted the named entity of webpage from the website; then use the analyses method analysis the relationship between named entities of the website; finally using correlation analysis method to improve relations between named entities, obtained the feature information of the website and the characteristic of the website.