COPLINK: visualization and collaboration for law enforcement

Authors:
H. Chen;H. Atabakhsh;D. Zeng;J. Schroeder;T. Petersen;D. Casey;M. Chen;Y. Xiang;D. Daspit;S. Nandiraju;S. Fu
Affiliations:
University of Arizona, Tucson AZ;University of Arizona, Tucson AZ;University of Arizona, Tucson AZ;Stone Ave., Tucson AZ;Stone Ave., Tucson AZ;Stone Ave., 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 '02 Proceedings of the 2002 annual national conference on Digital government research
Year:
2002

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Abstract

Funded by the National Institute of Justice and the National Science Foundation, the University of Arizona's Artificial Intelligence Lab has teamed with the Tucson Police Department (TPD) and the Phoenix Police Department (PPD) to develop the COPLINK application. The COPLINK project aims to develop knowledge management systems technologies and methodology that are appropriate for capturing, analyzing, visualizing, and sharing law enforcement related information in social and organizational contexts. The basis of such research is grounded in information retrieval, computational linguistics, information visualization, artificial intelligence, multimedia systems, multi-agent systems, and telecommunications. We also study the organizational, social, cultural and methodological impacts and changes organizations must implement to maximize and leverage on a law enforcement agency's investments in information and knowledge management. The academic foundation for such research is based on social informatics, decision theory, communication theory, cognitive psychology, and managerial and organizational research (Hauck & Chen, 1999). The focus of this paper is on the visualization and collaboration components of COPLINK. For more information on the COPLINK project, refer to: (Chen et al., 2002a and Hauck et al., 2002).