Whang, Steven Euijong and Garcia-Molina, Hector Joint Entity Resolution. In: 28th IEEE International Conference on Data Engineering (ICDE), April 1-5, 2012, Washington DC.
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Entity resolution (ER) is the problem of identifying which records in a database represent the same entity. Often, records of different types are involved (e.g., authors, publications, institutions, venues), and resolving records of one type can impact the resolution of other types of records. In this paper we propose a flexible, modular resolution framework where existing ER algorithms developed for a given record type can be plugged in and used in concert with other ER algorithms. Our approach also makes it possible to run ER on subsets of similar records at a time, important when the full data is too large to resolve together. We study the scheduling and coordination of the individual ER algorithms in order to resolve the full data set. We then evaluate our joint ER techniques on synthetic and real data and show the scalability of our approach.
|Item Type:||Conference or Workshop Item (Paper)|
|Deposited By:||Steven Whang|
|Deposited On:||04 Nov 2011 15:40|
|Last Modified:||04 Nov 2011 17:27|
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- Joint Entity Resolution. (deposited 05 Jul 2011 08:50)
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