Disambiguating Web appearances of people in a social network
WWW '05 Proceedings of the 14th international conference on World Wide Web
Web People Search via Connection Analysis
IEEE Transactions on Knowledge and Data Engineering
PSNUS: web people name disambiguation by simple clustering with rich features
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
Person name disambiguation by bootstrapping
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Automatic Discovery of Personal Name Aliases from the Web
IEEE Transactions on Knowledge and Data Engineering
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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 web pages using a weighted graph structure and applying MCL to crystalize it into different clusters, each one containing the web pages related to a particular namesake individual. The proposed method focuses on three broad and realistic aspects to cluster web pages retrieved through search engines - content overlapping, structure overlapping, and local context overlapping. The efficacy of the proposed method is demonstrated through experimental evaluations on standard datasets.