The Arizona IDMatcher: developing an identity matching tool for law enforcement

Authors:
G. Alan Wang;Siddharth Kaza;Shailesh Joshi;Kris Chang;Chunju Tseng;Homa Atabakhsh;Hsinchun Chen
Affiliations:
Virginia Polytechnic Institute and State University, Blacksburg, VA;University of Arizona, Tucson, AZ;University of Arizona, Tucson, AZ;University of Arizona, Tucson, AZ;University of Arizona, Tucson, AZ;University of Arizona, Tucson, AZ;University of Arizona, Tucson, AZ
Venue:
dg.o '07 Proceedings of the 8th annual international conference on Digital government research: bridging disciplines & domains
Year:
2007

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Abstract

Identity resolution is central to fighting crime and terrorism. Identity information can be unreliable due to intentional deception or data entry errors. In this poster we propose to develop an efficient open-source entity-matching and identity resolution tool for law enforcement, based on a probabilistic matching technique that requires little or no human intervention in the matching process. Compared to the IBM Identity Resolution, the Arizona IDMatcher achieved better recall and overall F-measure ratings on two real-world datasets.