A Unified Probabilistic Framework for Name Disambiguation in Digital Library

Despite years of research, the name ambiguity problem remains largely unresolved. Outstanding issues include how to capture all information for name disambiguation in a unified approach, and how to determine the number of people K in the disambiguation process. In this paper, we formalize the proble...

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Veröffentlicht in:	IEEE transactions on knowledge and data engineering 2012-06, Vol.24 (6), p.975-987
Hauptverfasser:	Jie Tang, Fong, Alvis C. M., Bo Wang, Jing Zhang
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Ambiguity Clustering algorithms database applications Digital libraries Digital systems Dynamic tests Dynamics heterogeneous databases Heuristic algorithms Hidden Markov models information search and retrieval Marine vehicles Names Partitioning algorithms Probabilistic logic Probabilistic methods Probability theory
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