Journal of Guangxi Normal University(Natural Science Edition) ›› 2011, Vol. 29 ›› Issue (1): 157-161.

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Method of Chinese Expert Entity Homepage Recognition

LI Li-na1, YU Zheng-tao1,2, WANG Ya-sheng1, MAO Cun-li1,2, GUO Jian-yi1,2   

  1. 1.College of Information Engineering and Automation,Kunming University of Science and Technology,Kunming Yunnan 650051,China;
    2.Institute of Intelligent Information Processing,Computer TechnologyApplication Key Laboratory of Yunnan Province,Kunming Yunnan 650051,China
  • Received:2010-12-29 Online:2007-03-25 Published:2018-11-16

Abstract: Expert Entity Homepage Recognition is one of the keypoints in expert search.In this paper,a method based on J48 is proposed.2113 Chinese expert entities and the corresponding entity homepages are collectedby analyzing the expert resources,and the expert entity features relatedto the features of link and webpage content are defined.Besides,these features are also extractedto form a training data set;and then different learning algorithms with different features are adopted to recognize the expert homepage for finding the most effectiveclassification features and homepage recognition learning algorithm.The experiment results show that the best method is obtained by using J48 algorithm,specifically,when the features of link and webpage content are combined with,theexpert homepage recognition accuracy rate reaches 81.05%.

Key words: Chinese expert entity, homepage recognition, link feature, Webpage feature, J48

CLC Number: 

  • TP391.3
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