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CAPER: Collaborative information, acquisition, processing, exploitation and reporting for the prevention of organised crime

: Aliprandi, Carlo; Arraiza Irujo, Juan; Cuadros, Montse; Maier, Sebastian; Melero, Felipe; Raffaelli, Matteo


Stephanidis, C.:
HCI International 2014. Posters’ Extended Abstracts. Pt.1 : International Conference, HCI International 2014, Heraklion, Crete, Greece, June 22-27, 2014. Proceedings
Cham: Springer International Publishing, 2014 (Communications in computer and information science 434)
ISBN: 978-3-319-07856-4 (Print)
ISBN: 978-3-319-07857-1 (Online)
International Conference on Human-Computer Interaction (HCI International) <16, 2014, Heraklion>
Fraunhofer IGD ()
natural language processing; semantics; visual analytics; visual graph analysis; natural language processing; interactive web applications; web based information system

Law Enforcement Agencies (LEAs) are increasingly more reliant on information and communication technologies and affected by a society shaped by the Internet and Social Media. The richness and quantity of information available from open sources, if properly gathered and processed, can provide valuable intelligence and help drawing inference from existing closed source intelligence. This paper presents CAPER, a state-of-the-art platform for the prevention of organised crime, created in cooperation with European LEAs. CAPER supports information sharing and multi-modal analysis of open and closed information sources, mainly based on Natural Language Processing (NLP) and Visual Analytics (VA) technologies.