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.

Preview

PDF Brewster ICCS-14 ePOOLICE Research Paper.pdf - Accepted Version All rights reserved. Download (593kB) | Preview

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.

Item Type:	Book Section
Research Institute, Centre or Group - Does NOT include content added after October 2018:	Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Departments - Does NOT include content added after October 2018:	Faculty of Science, Technology and Arts > Department of Computing
Identification Number:	https://doi.org/10.1007/978-3-319-08389-6_10
Page Range:	104-117
Depositing User:	Helen Garner
Date Deposited:	18 Sep 2014 12:15
Last Modified:	18 Mar 2021 06:03
URI:	https://shura.shu.ac.uk/id/eprint/8466

Actions (login required)

View Item

Downloads

Publication Metrics