TY - JOUR
T1 - Process-driven collaboration support for intra-agency crime analysis
AU - Zhao, J. Leon
AU - Bi, Henry H.
AU - Chen, Hsinchun
AU - Zeng, Daniel D.
AU - Lin, Chienting
AU - Chau, Michael
N1 - Funding Information:
Michael Chau is currently a Research Assistant Professor in the School of Business at the University of Hong Kong. He received his PhD degree in Management Information Systems from the University of Arizona and a Bachelor's degree in Computer Science (Information Systems) from the University of Hong Kong. When at Arizona, he was an active researcher in the Artificial Intelligence Lab, where he participated in several projects funded by NSF, NIH, NIJ and DARPA. His current research interests include information retrieval, Web mining, knowledge management, intelligent agents and security informatics.
PY - 2006/3
Y1 - 2006/3
N2 - In law enforcement applications, there is a critical need for new tools that can facilitate efficient and effective collaboration. Through a field study, we observe that crime analysis, a critical component of law enforcement operations, is knowledge intensive and often involves collaborative efforts from multiple law enforcement officers within and across agencies. To better facilitate such knowledge intensive collaboration and thereby improve law enforcement agencies' crime-fighting capabilities, we propose a novel methodology based on modeling and implementation techniques from workflow management and information retrieval. This paper presents this process-driven collaboration methodology and its prototype implementation as part of an integrated law enforcement information management environment called COPLINK.
AB - In law enforcement applications, there is a critical need for new tools that can facilitate efficient and effective collaboration. Through a field study, we observe that crime analysis, a critical component of law enforcement operations, is knowledge intensive and often involves collaborative efforts from multiple law enforcement officers within and across agencies. To better facilitate such knowledge intensive collaboration and thereby improve law enforcement agencies' crime-fighting capabilities, we propose a novel methodology based on modeling and implementation techniques from workflow management and information retrieval. This paper presents this process-driven collaboration methodology and its prototype implementation as part of an integrated law enforcement information management environment called COPLINK.
KW - Collaboration support systems
KW - Collaborative workflow
KW - Crime analysis
KW - Law enforcement applications
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U2 - 10.1016/j.dss.2004.06.014
DO - 10.1016/j.dss.2004.06.014
M3 - Article
AN - SCOPUS:32544441917
SN - 0167-9236
VL - 41
SP - 616
EP - 633
JO - Decision Support Systems
JF - Decision Support Systems
IS - 3
ER -