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

BREWSTER, Benjamin, ANDREWS, Simon, POLOVINA, Simon, HIRSCH, Laurence and AKHGAR, Babak (2014). Environmental Scanning and Knowledge Representation for the Detection of Organised Crime Threats. In: HERNANDEZ, Nathalie, JÄSCHKE, Robert and CROITORU, Madalina, (eds.) Graph-Based Representation and Reasoning. Lecture Notes in Computer Science (8577). Springer International Publishing, 275-280.

Andrews ICCS-14 ePOOLICE Industrial Paper.pdf - Accepted Version
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Official URL: http://dx.doi.org/10.1007/978-3-319-08389-6_22
Link to published version:: https://doi.org/10.1007/978-3-319-08389-6_22


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.

Item Type: Book Section
Research Institute, Centre or Group: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Departments: Faculty of Science, Technology and Arts > Department of Computing
Identification Number: https://doi.org/10.1007/978-3-319-08389-6_22
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Depositing User: Helen Garner
Date Deposited: 18 Sep 2014 12:24
Last Modified: 28 Mar 2019 16:15
URI: http://shura.shu.ac.uk/id/eprint/8467

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