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Towards Predictive Policing: Knowledge-based Monitoring of Social Networks

Authors:
Michael Spranger
Florian Heinke
Steffen Grunert
Dirk Labudde

Keywords: forensic; text processing; resilience engineering

Abstract:
Increasing the resilience of the society against disorders, such as disasters, attacks or threatening groups, is a major challenge. Recent events highlight the importance of a resilient society and steps which are required to be taken in resilience engineering. textit{A priori} the optimal way to handle such adverse events is to prevent them, or at least provide appropriate courses of preparation. The essential requirement for every kind of preparation is information about relevant upcoming events. Such information can be gained for example from social networks and can form the basis for a long-term and short-term strategic planning by security forces. For that purpose, we here propose an application framework for knowledge-based social network monitoring, which aims at predicting short-term activities, as well as the long-term development of potentially dangerous groups. In this work, a theoretical outline of this approach is given and discussed.

Pages: 39 to 40

Copyright: Copyright (c) IARIA, 2015

Publication date: June 21, 2015

Published in: conference

ISSN: 2326-9332

ISBN: 978-1-61208-415-2

Location: Brussels, Belgium

Dates: from June 21, 2015 to June 26, 2015