Knowledge management and human trafficking: using conceptual knowledge representation, text analytics and open-source data to combat organized crime

BREWSTER, Benjamin, POLOVINA, Simon, RANKIN, Glynn and ANDREWS, Simon (2014). Knowledge management and human trafficking: using conceptual knowledge representation, text analytics and open-source data to combat organized crime. In: HERNANDEZ, Nathalie, JÄSCHKE, Robert and CROITORU, Madalina, (eds.) Graph-Based Representation and Reasoning. Lecture Notes in Computer Science (8577). Springer International Publishing, 104-117. [Book Section]

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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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