2003 COPLINK
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- (Chen et al., 2003) ⇒ Hsinchun Chen, Daniel Zeng, Homa Atabakhsh, Wojciech Wyzga, Jenny Schroeder. (2003). “COPLINK: managing law enforcement data and knowledge.” In: Communications of the ACM, 46(1). doi:10.1145/602421.602441
Subject Headings: Concept Space.
Notes
Cited By
~96 http://scholar.google.com/scholar?cites=18363194236886144559
Quotes
Abstract
- In response to the September 11 terrorist attacks, major government efforts to modernize federal law enforcement authorities' intelligence collection and processing capabilities have been initiated. At the state and local levels, crime and police report data is rapidly migrating from paper records to automated records management systems in recent years, making them increasingly accessible.
COPLINK Connect
- Much of crime analysis is concerned with creating associations or linkages among various aspects of a crime. COPLINK Detect uses a technique called Concept Space [3] to identify such associations from existing crime data automatically. In general, a concept space is a network of terms and weighted associations that represent the concepts and their associations within an underlying information space. COPLINK Detect uses statistical techniques such as co-occurrence analysis and clustering functions to weight relationships between all possible pairs of concepts. No hand-coded domain knowledge is necessary for COPLINK Detect to perform the Concept Space analysis.
References
- Atabakhsh, H., Schroeder, J. Chen, H., Chau, M., Xu, J., Zhang, J., and Bi, H. COPLINK knowledge management for law enforcement: Text analysis, visualization and collaboration. National Conference on Digital Government. (Los Angeles, CA, May 21--23, 2001).
- Michael Chau, Jennifer J. Xu, Hsinchun Chen, Extracting meaningful entities from police narrative reports, Proceedings of the 2002 annual national conference on Digital government research, p.1-5, May 19-22, 2002, Los Angeles, California
- Hsinchun Chen, Bruce Schatz, Tobun Ng, Joanne Martinez, Amy Kirchhoff, Chienting Lin, A Parallel Computing Approach to Creating Engineering Concept Spaces for Semantic Retrieval: The Illinois Digital Library Initiative Project, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.18 n.8, p.771-782, August 1996 doi:10.1109/34.531798
- Roslin V. Hauk, Hsinchun Chen, Coplink: a case of intelligent analysis and knowledge management, Proceeding of the 20th International Conference on Information Systems, p.15-28, December 12-15, 1999, Charlotte, North Carolina, United States
- Ralph Grishman, Information Extraction: Techniques and Challenges, International Summer School on Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology, p.10-27, January 1997
- Martijn J. Hoogeveen, Kees van der Meer, Integration of information retrieval and database management in support of multimedia police work, Journal of Information Science, v.20 n.2, p.79-87, 1994 doi:10.1177/016555159402000201
- Lingerfelt, J. Technology as a force multiplier. In: Proceedings of the Conference in Technology Community Policing. National Law Enforcement and Corrections Technology Center, 1997.
- Martinez, J. and Moosman, A. COPLINK Detect User Study Report. University of Arizona, AI Lab Technical Report, 2001.
- Pliant, L. High-technology solutions. The Police Chief 5, 38 (1996), 38--51.
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| Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2003 COPLINK | Hsinchun Chen Daniel Zeng Homa Atabakhsh Wojciech Wyzga Jenny Schroeder | COPLINK: managing law enforcement data and knowledge | http://portal.acm.org/citation.cfm?doid=602421.602441 | 10.1145/602421.602441 |