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  4. Big data analytics in public safety and personal security. Challenges and potential
 
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2017
Conference Paper
Title

Big data analytics in public safety and personal security. Challenges and potential

Abstract
Public safety and personal security organizations need to achieve and maintain high levels of service, while managing the expectations of citizens, the mandates of legislation, and the impacts of new forms of technology, including mobile and IoT communications. In this context, Big and Linked Data analysis is expected to play a key role in the domain of Public Safety and Personal security industries. The paper presents the challenges in achieving efficient and secure big data analysis in this domain, in view of the current state-of-the-art in big and linked data technologies, and proposes a framework that brings together the data, the network & the technologies to create a curated, semantically enhanced, interlinked & multilingual platform for public & personal safety-related big data.
Author(s)
Biliri, Evmorfia
National Technical University of Athens, Athens, Greece
Kokkinakos, Panagiotis
National Technical University of Athens, Athens, Greece
Michailitsi, Ariadni
National Technical University of Athens, Athens, Greece
Papaspyros, Dimitris
National Technical University of Athens, Athens, Greece
Tsapelas, John
National Technical University of Athens, Athens, Greece
Mouzakitis, Spiros
National Technical University of Athens, Athens, Greece
Koussouris, Sotirios
National Technical University of Athens, Athens, Greece
Lampathaki, Fenareti
National Technical University of Athens, Athens, Greece
Glickman, Yuri
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Kirstein, Fabian  
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Mainwork
23rd International Conference on Engineering, Technology and Innovaiton, ICE/ITMC 2017. Proceedings  
Project(s)
AEGIS  
Funder
European Commission EC  
Conference
International Conference on Engineering, Technology and Innovation (ICE) 2017  
DOI
10.1109/ICE.2017.8280043
Language
English
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
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