TITLE:
An Improved Name Disambiguation Method Based on Atom Cluster
AUTHORS:
Yu-Feng Yao
KEYWORDS:
Relation; Name Disambiguation; Data Mining; Entity
JOURNAL NAME:
Communications and Network,
Vol.4 No.1,
February
27,
2012
ABSTRACT: An improved name disambiguation method based on atom cluster. Aiming at the method of character-related properties of similarity based on information extraction depends on the character information, a new name disambiguation method is proposed, and improved k-means algorism for name disambiguation is proposed in this paper. The cluster analysis cluster is introduced to the name disambiguation process. Experiment results show that the proposed method having the high implementation efficiency and can distinguish the different people with the same name.