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    COPLINK Knowledge Management for Law Enforcement: Text Analysis, Visualization and Collaboration

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    Author
    Atabakhsh, Homa
    Schroeder, Jennifer
    Chen, Hsinchun
    Chau, Michael
    Xu, Jennifer J.
    Zhang, Jing
    Bi, Haidong
    Issue Date
    2001
    Submitted date
    2004-08-22
    Keywords
    Database Searching Instructions
    Data Mining
    Local subject classification
    National Science Digital Library
    NSDL
    Artificial intelligence lab
    AI lab
    CopLink
    
    Metadata
    Show full item record
    Citation
    COPLINK Knowledge Management for Law Enforcement: Text Analysis, Visualization and Collaboration 2001,
    Description
    Artificial Intelligence Lab, Department of MIS, University of Arizona
    URI
    http://hdl.handle.net/10150/105754
    Abstract
    Crime and police report information is rapidly migrating from paper records to automated records management databases. Most mid and large sized police agencies have such systems that provide access to information by their own personnel, but lack any efficient manner by which to provide that information to other agencies. Criminals show no regard for jurisdictional boundaries and in fact take advantage of the lack of communication across jurisdictions. Federal standards initiatives such as the National Incident Based Reporting System (NIBRS, US Department of Justice 1998), are attempting to provide reporting standards to police agencies to facilitate future reporting and information sharing among agencies as these electronic reporting systems become more widespread. We integrated platform-independence, stability, scalability, and an intuitive graphical user interface to develop the COPLINK system, which is currently being deployed at Tucson Police Department (TPD). User evaluations of the application allowed us to study the impact of COPLINK on law enforcement personnel as well as to identify requirements for improving the system and extending the project. We are currently in the process of extending the functionality of COPLINK in several areas. These include textual analysis, collaboration, visualization and geo-mapping.
    Type
    Conference Poster
    Language
    en
    Collections
    DLIST

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