Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2009, Vol. 32 ›› Issue (3): 109-112.doi: 10.13190/jbupt.200903.109.liy

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Wikipedia based Semantic Related Chinese Words Exploring and Relatedness Computing

LI Yun; Fuji REN ZHONG Yi-xin   

  • Received:2008-11-07 Revised:2009-02-10 Online:2009-06-28 Published:2009-06-28
  • Contact: LI Yun

Abstract:

This paper introduces our way of finding semantic related Chinese word pairs from the open encyclopedia Wikipedia and analyzing the degree of semantic relations. Almost 50,000 structured documents are collected from Wikipedia pages. Then considering of hyperlinks and text overlaps etc., about 400,000 semantic related pairs are employed. We roughly measured the semantic relatedness using the position and frequency information in the documents. With comparing experiment on data sets with different degrees of semantic relations using some other classic algorithms, we analyze the reliability of our measures and other properties. Key words: Wikipedia; semantic relation; semantic relatedness.

Key words: Wikipedia, semantic relation, semantic relatedness