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Published in:
2014 | OriginalPaper | Chapter
CAPER: Collaborative Information, Acquisition, Processing, Exploitation and Reporting for the Prevention of Organised Crime
Authors : Carlo Aliprandi, Juan Arraiza Irujo, Montse Cuadros, Sebastian Maier, Felipe Melero, Matteo Raffaelli
Published in: HCI International 2014 - Posters’ Extended Abstracts
Publisher: Springer International Publishing
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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.