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2008
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A unified framework for name disambiguation

12 years 2 months ago
A unified framework for name disambiguation
Name ambiguity problem has been a challenging issue for a long history. In this paper, we intend to make a thorough investigation of the whole problem. Specifically, we formalize the name disambiguation problem in a unified framework. The framework can incorporate both attribute and relationship into a probabilistic model. We explore a dynamic approach for automatically estimating the person number K and employ an adaptive distance measure to estimate the distance between objects. Experimental results show that our proposed framework can significantly outperform the baseline method. Categories and Subject Descriptors H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval, Digital Libraries, I.2.6 [Artificial Intelligence]: Learning, H.2.8 [Database Management]: Database Applications. General Terms Algorithms, Experimentation Keywords Name Disambiguation, Probabilistic Model, Digital Library
Jie Tang, Jing Zhang, Duo Zhang, Juanzi Li
Added 21 Nov 2009
Updated 21 Nov 2009
Type Conference
Year 2008
Where WWW
Authors Jie Tang, Jing Zhang, Duo Zhang, Juanzi Li
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