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.
Name Disambiguation Probabilistic Model Digital Library
Jie Tang, Jing Zhang Duo Zhang Juanzi Li
Department of Computer Science Tsinghua University FIT 1-308, Tsinghua University,Beijing, 100084, C Department of Computer Science University of Illinois at Urbana Champaign
国际会议
第十七届国际万维网大会(the 17th International World Wide Web Conference)(WWW08)
北京
英文
2008-04-21（万方平台首次上网日期，不代表论文的发表时间）