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Knowledge Management and Human Trafficking: Using Conceptual Knowledge Representation, Text Analytics and Open-Source Data to Combat Organized Crime

  • Ben BrewsterEmail author
  • Simon Polovina
  • Glynn Rankin
  • Simon Andrews
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8577)

Abstract

Globalization, the ubiquity of mobile communications and the rise of the web have all expanded the environment in which organized criminal entities are conducting their illicit activities, and as a result the environment that law enforcement agencies have to police. This paper triangulates the capability of open-source data analytics, ontological knowledge representation and the wider notion of knowledge management (KM) in order to provide an effective, interdisciplinary means to combat such threats, thus providing law enforcement agencies (LEA’s) with a foundation of competitive advantage over human trafficking and other organized crime.

Keywords

Knowledge Management Organize Crime Sentiment Analysis Human Trafficking Conceptual Graph 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Ben Brewster
    • 1
    Email author
  • Simon Polovina
    • 1
  • Glynn Rankin
    • 2
  • Simon Andrews
    • 1
  1. 1.CENTRICSheffield Hallam UniversitySheffieldUK
  2. 2.Rankin Kinsella AssociatesBirkenheadUK

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