Journal of Guangxi Normal University(Natural Science Edition) ›› 2011, Vol. 29 ›› Issue (4): 28-34.

Previous Articles     Next Articles

Mining Relevance between Domains Via Baidupedia

HU Jie-ru1, YANG Xiao-ping1, HUANG Du-pei2   

  1. 1.School of Information,Renmin University of China,Beijing 100872,China;
    2.Education Department of Technology,China University of Political Scienceand Law,Beijing 100088,China
  • Received:2011-09-07 Published:2018-11-16

Abstract: As modern society diversification develops,interdisciplinary studies have turned out to be the inherent need of this irreversible trend.But the problem is that there are thousands of well-developed subjects in the world and the discoveryof possibility to integrate different domains can only be handled by specialists in different domains separately.The reason for this is obviously that no one can master all knowledge in all domains.Therefore,an algorithm should be broughtout to calculate the relevance between two domains.By this method,it can figureout which domain is more relevant with a specified domain,and thus it might be possible to start a cross-domain research or build up a new subject.

Key words: domain knowledge, relevance, Web mining, baidupedia

CLC Number: 

  • TP182
[1] 周循.基于领域知识的面向分类的属性泛化研究[D].合肥:合肥工业大学计算机与信息学院,2008.
[2] 杨立.基于领域知识的知识发现研究[D].北京:中国科学院研究生院软件研究所,2005.
[3] YIN Shi-qun,QIU Yu-hui,ZHONG Cheng-wen,et al.Study of Web information extraction and classification method[C]//Proceedings of 2007 International Conference on Wireless Communications,Networking and Mobile Computing.Los Alamitos,CA:IEEE Computer Society,2007:5548-5552.
[4] HU Xue-gang,HU Xie-fei,WANG De-xing,et al.A classification algorithm based on multi-relation domain knowledge[C]//Proceedings of 2005 International Conference on Machine Learning and Cybernetics:Vol 4.Los Alamitos,CA:IEEE Computer Society,2005:2067-2072.
[5] 邢丽莉.基于Web的中文文本分类技术的研究[D].邯郸:河北工程大学信息与电气工程学院,2008.
[6] 尹世群.Web文本分类关键技术研究[D].重庆:西南大学计算机与信息科学学院,2008.
[7] 秦玉平.基于支持向量机的文本分类算法研究[D].大连:大连理工大学软件学院,2008.
[1] TANG Su-qin, HUANG Yun-you, WANG Na-na. The Analysis of Interrogative Sentence Based on Dependency Grammar and Ontology Technology [J]. Journal of Guangxi Normal University(Natural Science Edition), 2014, 32(4): 52-58.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!