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. © 2014 Springer International Publishing.
CITATION STYLE
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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8577 LNAI, pp. 104–117). Springer Verlag. https://doi.org/10.1007/978-3-319-08389-6_10
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