An Improved Name Disambiguation Method Based on Atom Cluster

• 作者: Yu-Feng Yao
• 来源期刊: 通讯与网络(英文)
• 学科: 工学
• 关键词: RELATION NAME DISAMBIGUATION Data Mining ENTITY
• 年，卷（期）: 2012,（1）
• 页码范围: 30-33
• 页数: 4页
• 分类号: TP39

摘要

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.