Persistent Link:
http://hdl.handle.net/10150/105522
Title:
CopLink: Managing Law Enforcement Data And Knowledge
Author:
Chen, Hsinchun; Zeng, Daniel; Atabakhsh, Homa; Wyzga, Wojciech; Schroeder, Jennifer
Citation:
CopLink: Managing Law Enforcement Data And Knowledge 2003-01, 46(1):28-34 Communication of the ACM
Publisher:
ACM
Journal:
Communication of the ACM
Issue Date:
Jan-2003
Description:
Artificial Intelligence Lab, Department of MIS, University of Arizona
URI:
http://hdl.handle.net/10150/105522
Submitted date:
2004-08-20
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. However, despite the increasing availability of data, many challenges continue to hinder effective use of law enforcement data and knowledge, in turn limiting crime-fighting capabilities of related government agencies. For instance, most local police have database systems used by their own personnel, but lack an efficient manner in which to share information with other agencies. More importantly, the tools necessary to retrieve, filter, integrate, and intelligently present relevant information have not yet been sufficiently refined. According to senior Justice Department officials quoted on MSNBC, Sept. 26, 2001, there is “justifiable skepticism about the FBI’s ability to handle massive amounts of information,” and recent anti-terrorism initiatives will create more data overload problems. As part of nationwide, ongoing digital government initiatives, COPLINK is an integrated information and knowledge management environment aimed at meeting some of these challenges.
Type:
Journal Article (Paginated)
Language:
en
Keywords:
Databases; Knowledge Management; Information Seeking Behaviors
Local subject classification:
National Science Digital Library; NSDL; Artificial intelligence lab; AI lab; CopLink

Full metadata record

DC FieldValue Language
dc.contributor.authorChen, Hsinchunen_US
dc.contributor.authorZeng, Danielen_US
dc.contributor.authorAtabakhsh, Homaen_US
dc.contributor.authorWyzga, Wojciechen_US
dc.contributor.authorSchroeder, Jenniferen_US
dc.date.accessioned2004-08-20T00:00:01Z-
dc.date.available2010-06-18T23:26:53Z-
dc.date.issued2003-01en_US
dc.date.submitted2004-08-20en_US
dc.identifier.citationCopLink: Managing Law Enforcement Data And Knowledge 2003-01, 46(1):28-34 Communication of the ACMen_US
dc.identifier.urihttp://hdl.handle.net/10150/105522-
dc.descriptionArtificial Intelligence Lab, Department of MIS, University of Arizonaen_US
dc.description.abstractIn 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. However, despite the increasing availability of data, many challenges continue to hinder effective use of law enforcement data and knowledge, in turn limiting crime-fighting capabilities of related government agencies. For instance, most local police have database systems used by their own personnel, but lack an efficient manner in which to share information with other agencies. More importantly, the tools necessary to retrieve, filter, integrate, and intelligently present relevant information have not yet been sufficiently refined. According to senior Justice Department officials quoted on MSNBC, Sept. 26, 2001, there is “justifiable skepticism about the FBI’s ability to handle massive amounts of information,” and recent anti-terrorism initiatives will create more data overload problems. As part of nationwide, ongoing digital government initiatives, COPLINK is an integrated information and knowledge management environment aimed at meeting some of these challenges.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherACMen_US
dc.subjectDatabasesen_US
dc.subjectKnowledge Managementen_US
dc.subjectInformation Seeking Behaviorsen_US
dc.subject.otherNational Science Digital Libraryen_US
dc.subject.otherNSDLen_US
dc.subject.otherArtificial intelligence laben_US
dc.subject.otherAI laben_US
dc.subject.otherCopLinken_US
dc.titleCopLink: Managing Law Enforcement Data And Knowledgeen_US
dc.typeJournal Article (Paginated)en_US
dc.identifier.journalCommunication of the ACMen_US
All Items in UA Campus Repository are protected by copyright, with all rights reserved, unless otherwise indicated.