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The VLDB Journal — The International Journal on Very Large Data Bases
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SemiSupLearn '09 Proceedings of the NAACL HLT 2009 Workshop on Semi-Supervised Learning for Natural Language Processing
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This paper describes a highly scalable state of the art record aggregation system and the backbone infrastructure developed to support it. The system, called PeopleMap, allows legal professionals to effectively and efficiently explore a broad spectrum of public records databases by way of a single person-centric search. The backbone support system, called Concord, is a toolkit that allows developers to economically create record resolution solutions. The PeopleMap system is capable of linking billions of public records to a master data set consisting of hundreds of millions of person records. It was constructed using successive applications of Concord to link disparate public record data sets to a central person authority file. To our knowledge, the PeopleMap system is the largest of its kind. In contrast, the Concord support system is a novel record linkage tool that uses a new semi-supervised training technique called `surrogate learning' to enable the rapid development of record resolution solutions.