COPLINK: managing law enforcement data and knowledge

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.

REFERENCES

• 1: 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).
• 2: 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
• 3: 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 ]
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INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.0 General

Additional Classification:
  J. Computer Applications
  J.1 ADMINISTRATIVE DATA PROCESSING