COPLINK agent: An architecture for information monitoring and sharing in law enforcement

Daniel Zeng, Hsinchun Chen, Damien Daspit, Fu Shan, Suresh Nandiraju, Michael Chau, Chienting Lin

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Scopus citations

Abstract

In this paper, we report our work on developing and evaluating a prototype system aimed at addressing the information monitoring and sharing challenges in the law enforcement domain. Our system, called COPLINK Agent, is designed to provide automatic information filtering and monitoring functionalities. This system also supports knowledge sharing by proactively identifying officers who are working on the same or similar cases on a real-time basis. To accommodate the mobile needs of law enforcement officers who are constantly in the field, COPLINK Agent can deliver messages through a variety of communications channels including e-mail, pager, and mobile phones. In order to assess the effectiveness of COPLINK Agent, we conducted a pilot user study at the Tucson Police Department. Overall, COPLINK Agent was shown to be an effective tool for improving the effectiveness and efficiency of criminal investigations in crimes such as gang, theft, and fraud.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsHsinchun Chen, Daniel D. Zeng, Therani Madhusudan, Richard Miranda, Jenny Schroeder, Chris Demchak
PublisherSpringer-Verlag
Pages281-295
Number of pages15
ISBN (Print)354040189X, 9783540401896
DOIs
StatePublished - 2003

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2665
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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