Investigators all over Europe are very often confronted with a variety of complex cases in which huge amounts of heterogeneous data have to be analysed for the prevention, investigation and prosecution of criminal offences. The analysis of such data volumes frequently exceeds the capacity of the police teams. Moreover, in some cases, both the workload and time constraints can be extreme, such as in a sequence of terrorist attacks which, from the LEAs' part, involve pre-incident intelligence analysis, real-time incident processing and post-incident evolution prediction linked potentially to other threats or subsequent attacks. In this light, MAGNETO aims to enhance the capabilities of LEAs in managing, investigating, correlating and reasoning upon huge volumes of heterogeneous and disjoint multimedia data, in order to accomplish highly-efficient crime prevention and investigation. Specifically, MAGNETO provides powerful, intelligent, intuitive and modular analytics tools through which investigators can receive comprehensive answers to their queries and discover relations between data more easily, gaining better insights. The cornerstone of MAGNETO is, accordingly, the definition and specification of the common representational model for data, together with the development of advanced semantic reasoning and augmented intelligence tools to support LEA officers, integrated in a common platform that allows storage, handling and processing of the collected multi-source information.
MAGNETO's objectives are to:
- Augment the capabilities of Law Enforcement Agencies (LEAs) in managing, investigating, correlating and reasoning from huge volumes of heterogeneous and disjoint multimedia data.
- Develop dedicated technical breakthroughs to anticipate both the growth in volume and types of data, and the resources and evolution of crime and criminality.
- Design and compose an open framework and develop powerful tools to deliver increased innovation capacity in Europe, and more efficient information exchange between operators and other users.