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基于人物相关社区的重名消解研究 被引量：5

Person′s name disambiguation based on person related social communities
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摘要 由于人的重名现象,人名检索的结果往往是同名的不同人物实体相关网页的混合。重名消解是根据上下文来区分同名的不同人物实体的过程。本文提出了基于相关社区的重名消解方法,采用改进的Espresso算法进行相关社区发现。将每个网页发现的社区应用到两阶段重名消解算法中,并且在WePS-2测试集上进行试验。实验结果表明了该方法的有效性。 Person＇s names are so ambiguous that the results of searching for a person＇s name are usually a mixture of pages about namesakes. Person＇s name disambiguation is a course of distinguishing different person＇s entities with the same name. The method of person＇s name disambiguation based on the relevant community was proposed and the modi- fied Espresso algorithm was used to find relevant community for each Web page. The enlarged name sets were applied in the two-stage person＇s name disambiguation algorithm, and then the algorithm was tested it on the WePS-2 test data- set. The experimental results show the effectiveness of our method.
作者 李琦 马军
机构地区 山东大学计算机科学与技术学院 山东省软件工程重点实验室
出处 《山东大学学报（理学版）》 CAS CSCD 北大核心 2012年第3期33-37,共5页 Journal of Shandong University(Natural Science)
基金 国家自然科学基金资助项目(60970047 61103151 61173068) 教育部博士点基金项目(20110131110028)
关键词 社会网络 社团 重名消解 人名检索 聚类 social network community person＇s name disambiguation Web people search clustering
分类号 TP391 [自动化与计算机技术—计算机应用技术]
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参考文献10

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二级参考文献1

共引文献31

同被引文献57

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引证文献5

二级引证文献20

山东大学学报（理学版）
2012年 第3期

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