Name Disambiguation in Person Information Mining

Authors:
Yu-Chuan Wei;Ming-Shun Lin;Hsin-Hsi Chen
Affiliations:
National Taiwan University, Taiwan;National Taiwan University, Taiwan;National Taiwan University, Taiwan
Venue:
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Year:
2006

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Abstract

This paper considers five features, personal titles, community chains, terms, temporal expressions, and hostnames for personal name disambiguation. In 9 test data sets covering 3 ambiguous personal names, we address the issues of awareness degree of an entity, the source of materials and web pages in different areas. Two approaches, single-clusterer and cascaded multiple-clusterer, are proposed. In the experiments, the proposed features are quite useful; the multiple-clusterer approach is better than the single-clusterer approach; and expanding community chains using the web has positive effects on personal name disambiguation.