首页 | 本学科首页   官方微博 | 高级检索  
     

基于SimRank的百度百科词条语义相似度计算
引用本文:尹坤,尹红风,杨燕,贾真.基于SimRank的百度百科词条语义相似度计算[J].山东大学学报(工学版),2014,44(3):29-35.
作者姓名:尹坤  尹红风  杨燕  贾真
作者单位:西南交通大学信息科学与技术学院, 四川 成都 610031
基金项目:国家自然科学基金资助项目 (61152001,61170111 );中国科学院自动化研究所复杂系统管理与控制重点实验室开放课题资助项目(20110102 );中央高校基本科研业务费专项资金资助项目(SWJTU11ZT08 )
摘    要:提出一种利用百度百科半结构化数据自动获取词语相似度的方法,该方法将百科词条与其相关词条看做有向图的两个节点,且两节点相互之间存在着链接关系,然后利用SimRank算法计算百科词条语义相似度。实验表明,该方法优于传统的词语语义相似度测量,能准确地反映词语之间的语义关系。

关 键 词:语义相似度  SimRank  百科词条  有向图  
收稿时间:2013-06-28

Semantic similarity computation of Baidu encyclopedia entries based on SimRank
YIN Kun,YIN Hongfeng,YANG Yan,JIA Zhen.Semantic similarity computation of Baidu encyclopedia entries based on SimRank[J].Journal of Shandong University of Technology,2014,44(3):29-35.
Authors:YIN Kun  YIN Hongfeng  YANG Yan  JIA Zhen
Affiliation:School of Information Science & Technology, Southwest Jiaotong University, Chengdu 610031, Sichuan, China
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.
Keywords:oriented graph  SimRank  semantic similarity  encyclopedia entry  
本文献已被 CNKI 等数据库收录!
点击此处可从《山东大学学报(工学版)》浏览原始摘要信息
点击此处可从《山东大学学报(工学版)》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号