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Semantic similarity computation of Baidu encyclopedia entries based on SimRank

YIN Kun, YIN Hongfeng*, YANG Yan, JIA Zhen   

  1. School of Information Science & Technology, Southwest Jiaotong University, Chengdu 610031, Sichuan, China
  • Received:2013-06-28 Online:2014-06-20 Published:2013-06-28

Abstract: The measurement of the semantic similarity using semistructured data on Baidu encyclopedia was proposed. The encyclopedia entries and related entries were considered as two nodes of a directed graph, of which there was a link between two nodes. Then SimRank algorithm was used to calculate the semantic similarity of encyclopedia entries. Experimental results showed that the proposed measure significantly outperformed the traditional similarity measures, and might accurately reflect  the semantic relationship between words.

Key words: oriented graph, SimRank, semantic similarity, encyclopedia entry

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