Complex Problem Solving: Identity Matching Based on Social Contextual Information
Authors: Xu, Jennifer; Wang, G. Alan; Li, Jiexun; Chau, Michael
Journal: Journal of the Association for Information Systems (2007)
DOI: 10.17705/1jais.00141
Complex problems like drug crimes often involve a large number of variables interacting with each other. A complex problem may be solved by breaking it into parts (i.e., sub-problems), which can be tackled more easily. The identity matching problem, for example, is a part of the problem of drug and other types of crimes. It is often encountered during crime investigations when a single criminal is represented by multiple identity records in law enforcement databases. Because of the discrepancies among these records, a single criminal may appear to be different people. Following Enid Mumford's three-stage problem solving framework, we design a new method to address the problem of criminal identity matching for fighting drug-related crimes. Traditionally, the complexity of criminal identity matching was reduced by treating criminals as isolated individuals who maintain certain personal identities. In this research, we recognize the intrinsic complexity of the problem and treat criminals as interrelated rather than isolated individuals. In other words, we take into consideration of the social relationships between criminals during the matching process. We study not only the personal…