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Duplicate Detection

    

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Duplicate detection (also known as entity resolution, entity identification, merge/purge problem, object matching or record linkage) is the process of identifying data items (tuples, records, XML-elements) representing the same real-world entity. The result of a duplicate detection is a partitioning of all the considered elements.  

Tools and Frameworks for Duplicate Detection

    
HumMer (Humboldt-Merger) Humboldt-Universität zu Berlin, GER
Hasso-Plattner Institut, GER
Febrl (Freely extensible biomedical record linkage) Australian National University, AU
 [Download]
New South Wales Department of Health , AU
Fever (Framework for EValuating Entity Resolution) University of Leipzig, GER
Oyster (Open sYSTem Entity Resolution) UALR Laboratory for Advanced Research in Entity Resolution and Information Quality (ERIQ), USA
 [Download]