Name Disambiguation in Person Information Mining. Yu-Chuan Wei, N., Ming-Shun Lin, N., & Hsin-Hsi Chen, N. WI 06 Proceedings of the 2006 IEEEWICACM International Conference on Web Intelligence, IEEE Computer Society, 2006. abstract bibtex 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...
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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...},
bibtype = {article},
author = {Yu-Chuan Wei, Null and Ming-Shun Lin, Null and Hsin-Hsi Chen, Null},
journal = {WI 06 Proceedings of the 2006 IEEEWICACM International Conference on Web Intelligence}
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