A unified framework for name disambiguation

Authors:
Jie Tang;Jing Zhang;Duo Zhang;Juanzi Li
Affiliations:
Tsinghua University, Beijing, China;Tsinghua University, Beijing, China;University of Illinois at Urbana Champaign, Urbana, USA;Tsinghua University, Beijing, China
Venue:
Proceedings of the 17th international conference on World Wide Web
Year:
2008

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Abstract

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.