An Improved Name Disambiguation Method Based on Atom Cluster


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.

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Y. Yao, "An Improved Name Disambiguation Method Based on Atom Cluster," Communications and Network, Vol. 4 No. 1, 2012, pp. 30-33. doi: 10.4236/cn.2012.41004.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] H. S. Xia, et al., “Data Warehouse and Data Mining Technology,” Science Press, Beijing, 2004.
[2] J. W. Han and M. Kamber, “Data Mining Concept and Technology,” Mechanical Industry Press, Beijing, 2001.
[3] E. G. Mallach, “Decision Support and Data Warehouse System,” Electronic Industry Press, Beijing, 2001.
[4] H. F. Wang, “Cross-Document Transliterated Personal Name Coreference Resolution,” Springer, Berlin, Vol. 21, 2010, pp. 11-20.
[5] Y. M. Quan, “Research on Knowledge Mining in Person Tracking,” Ph.D. Dissertation, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 2006.
[6] H. F. Wang and M. Zheng, “Chinese Multi-Document Personal Name Disambiguation,” High Technology Letters, Vol. 11, No. 3, 2010, pp. 280-283.

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