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An MCL-Based Text Mining Approach for Namesake Disambiguation on the Web
2012
2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology
In this paper, we propose a Markov CLustering (MCL) based text mining approach for namesake disambiguation on the Web. The novelty of the proposed technique lies in modeling the collection of webpages using a weighted graph structure and applying MCL to crystalize it into different clusters, each one containing the webpages related to a particular namesake individual. The proposed method focuses on three broad and realistic aspects to cluster webpages retrieved through search enginescontent
doi:10.1109/wi-iat.2012.239
dblp:conf/webi/AnwarA12
fatcat:gflbbvxnlrao7jwuqcllczvn7u