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

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Graph-Based Representation and Reasoning (ICCS 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8577))

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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.

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Author information

Authors and Affiliations

  1. CENTRIC, Sheffield Hallam University, Sheffield, UK

    Ben Brewster, Simon Polovina & Simon Andrews

  2. Rankin Kinsella Associates, Birkenhead, UK

    Glynn Rankin

Authors
  1. Ben Brewster
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  2. Simon Polovina
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  3. Glynn Rankin
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  4. Simon Andrews
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Corresponding author

Correspondence to Ben Brewster .

Editor information

Editors and Affiliations

  1. Université Toulouse le Mirail, Toulouse, France

    Nathalie Hernandez

  2. L3S Research Center, Hannover, Germany

    Robert Jäschke

  3. LIRMM, Montpellier, France

    Madalina Croitoru

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© 2014 Springer International Publishing Switzerland

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Brewster, B., Polovina, S., Rankin, G., Andrews, S. (2014). Knowledge Management and Human Trafficking: Using Conceptual Knowledge Representation, Text Analytics and Open-Source Data to Combat Organized Crime. In: Hernandez, N., Jäschke, R., Croitoru, M. (eds) Graph-Based Representation and Reasoning. ICCS 2014. Lecture Notes in Computer Science(), vol 8577. Springer, Cham. https://doi.org/10.1007/978-3-319-08389-6_10

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  • DOI: https://doi.org/10.1007/978-3-319-08389-6_10

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08388-9

  • Online ISBN: 978-3-319-08389-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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