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中文摘要：
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采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。
英文摘要：
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.
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