An unsupervised heuristic based approach for author name disambiguation

Abstract

Author name disambiguation is one of the very important problems in scientometrics. Plenty of approaches have been proposed for solving this problem. However, none of the proposed approaches is complete so there is still scope for improvement. In this regard, we have proposed an unsupervised heuristic-based approach for author name disambiguation. The technique also uses the information collected from the web as auxiliary information. Experimental results show that our method performs better than the existing methods.

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