We now live in a world saturated with artificial agency, even though it is difficult to identify the agents. Police intelligence is increasingly supported by big data analytics [...]
The LASIE project aims to design and implement an open and expandable framework that will significantly increase the efficiency of current investigation practices, by providing an automated initial analysis of the vast amounts of heterogeneous forensic data that analysts have to cope with. The framework will be able to handle forensic data that have been acquired from a variety of different sources including CCTV surveillance content, confiscated desktops and hard disks, mobile devices, Internet, social networks, handwritten and calligraphic documents.
The LASIE framework will be able to: (i) extract evidence from the available data (text, images, video, audio and biometric information in multiple formats), (ii) perform inferences based on the evidence, (iii) guide the investigation process through the incorporation of recommendation functionality, and (iv) interact with the user through an efficient and user-friendly interface. The overall process will be performed under the condition that all legal and ethical restrictions are satisfied and the computed data can be presented as evidence in European courts of law.