Environmental Scanning and Knowledge Representation for the Detection of Organised Crime Threats

Brewster, Ben; Andrews, Simon; Polovina, Simon; Hirsch, Laurence; Akhgar, Babak

Abstract

ePOOLICE aims at developing an efficient and effective strategic early warning system that utilises environmental scanning for the early warning and detection of current, emergent and future organised crime threats. Central to this concept is the use of environmental scanning to detect ‘weak signals’ in the external environment to monitor and identify emergent and future threats prior to their materialization into tangible criminal activity. This paper gives a brief overview of the application of textual concept extraction and categorization, and the Semantic Web technologies Formal Concept Analysis and Conceptual Graphs as part of the systems technological architecture, describing their benefits in aiding effective early warning.

Citation

Brewster, B., Andrews, S., Polovina, S., Hirsch, L., & Akhgar, B. (2023). Environmental Scanning and Knowledge Representation for the Detection of Organised Crime Threats. In N. Hernandez, R. Jäschke, & M. Croitoru (Eds.), Graph-Based Representation and Reasoning: 21st International Conference on Conceptual Structures, ICCS 2014, Iaşi, Romania, July 27-30, 2014, Proceedings (275-280). https://doi.org/10.1007/978-3-319-08389-6_22

• 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: 275-280
• 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_22
• Public URL: https://nottingham-repository.worktribe.com/output/3774533
• Publisher URL: https://link.springer.com/chapter/10.1007/978-3-319-08389-6_22