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Brewster, Benjamin; Andrews, Simon; Polovina, Simon; Hirsch, Laurence; Akhgar, Babak (2014)
Publisher: Springer International Publishing
Languages: English
Types: Part of book or chapter of book
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.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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    • 10. A. Gerdes, H.L. Larsen and J. Rouces, "Issues of Security and Informational Privacy in Relation to an Environmental Scanning System for Fighting Organized Crime," in Flexible Query Answering Systems, Anonymous : Springer, 2013, pp. 155-163.
    • 11. Criminal Intelligence Service Canada (CISC). Strategic Early Warning for Criminal Intelligence [Online]. available: http://www.cisc.gc.ca/products_services/sentinel/document/early_warning_methodology_e .pdf.
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    • 14. J.F. Sowa, Conceptual structures: information processing in mind and machine, AddisonWesley Longman Publishing Co., Inc., 1984.
    • 15. R. Wille, "Formal Concept Analysis as Mathematical Theory of Concepts and Concept Hierarchies," in B. Ganter, G. Stumme and R. Wille, Eds: Springer Berlin Heidelberg, 2005, pp. 1-33.
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