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

Brewster, Ben; Polovina, Simon; Rankin, Glynn; Andrews, Simon

Authors

Dr. BEN BREWSTER Ben.Brewster@nottingham.ac.uk
Assistant Professor in Informationsystems

Simon Polovina

Glynn Rankin

Simon Andrews



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. © 2014 Springer International Publishing.

Citation

Brewster, B., Polovina, S., Rankin, G., & Andrews, S. (2023). Knowledge Management and Human Trafficking: Using Conceptual Knowledge Representation, Text Analytics and Open-Source Data to Combat Organized Crime. In Graph-Based Representation and Reasoning: 21st International Conference on Conceptual Structures, ICCS 2014, Iaşi, Romania, July 27-30, 2014, Proceedings (104-117). https://doi.org/10.1007/978-3-319-08389-6_10

Conference Name 21st International Conference on Conceptual Structures, ICCS 2014
Conference Location Iaşi, Romania
Start Date Jul 27, 2014
End Date Jul 30, 2014
Online Publication Date Jul 17, 2014
Publication Date Jun 25, 2023
Deposit Date Jan 21, 2020
Publisher Springer Verlag
Pages 104-117
Series Title Lecture Notes in Computer Science
Series Number 8577
Series ISSN 1611-3349
Book Title Graph-Based Representation and Reasoning: 21st International Conference on Conceptual Structures, ICCS 2014, Iaşi, Romania, July 27-30, 2014, Proceedings
ISBN 9783319083889
DOI https://doi.org/10.1007/978-3-319-08389-6_10
Public URL https://nottingham-repository.worktribe.com/output/3774499
Publisher URL https://link.springer.com/chapter/10.1007%2F978-3-319-08389-6_10