Computer and Modernization ›› 2013, Vol. 1 ›› Issue (2): 117-119.doi: 10.3969/j.issn.1006-2475.2013.02.028

• 人工智能 • Previous Articles     Next Articles

Web Knowledge Discovery Based on Text Classification

LU Cao-fang, XUE Xiang-feng, ZHU Yue-chao, ZONG Jun-jun   

  1. Artillery Academy of PLA, Hefei 230031, China
  • Received:2012-10-23 Revised:1900-01-01 Online:2013-02-27 Published:2013-02-27

Abstract: The paper studies the related technologies of the Chinese text knowledge discovery on Internet, according to the features of search engines classification, comparing and analyzing search engines with features of text classification, discovers that the engines of simplex search text information is more suitable for text classification. This paper proposes a Internet achieving information prototype based on text classification, proposes an extraction method on user knowledge of interest, users can extract text information of interest to improve accuracy of text information mining.

Key words: knowledge discovery, text classification, search engine, rule mining