Obiettivo
The LASIE project will design and develop a novel framework to assist forensic analysts in their investigations. The envisaged framework will be based on automated technology for advanced data processing supported by an important human component in critical decision making stages, as well as, legal and ethical aspects. The framework will consist of tools to automatically manipulate, analyse and fuse vast amounts of heterogeneous data acquired from different sources including CCTV surveillance content, confiscated desktops and hard disks, mobile devices, Internet, social networks, handwritten and calligraphic documents. The type of data considered includes text, images, video, audio and biometric information in multiple formats. In order to manage the results of the automated processing, a knowledge repository will be built. It will consider explicit analyst-knowledge and critical legacy information from previous cases. The proposed knowledge representation framework will also allow the system to provide recommendations to analysts, guide the investigation process and perform inference based on evidence extracted from available data.
In LASIE, search and retrieval of evidence will be enhanced through the provision of complex query formulations and multimodal search mechanisms yet through a user-friendly, user-centric human-computer interface. The aim is to link and merge heterogeneous data retrieved from multiple sources to improve the knowledge-base and the accuracy of retrieved results. The envisaged user-friendly interface will allow analysts to easily visualise and navigate through the retrieved evidence, highlight relevant events and provide feedback to refine their search criteria.
LASIE will follow a privacy-by-design approach, ensuring that all the aforementioned functionalities and the used forensic data strictly obey all legal and ethical restrictions and national laws. This ensures that the outcomes of the system will be accepted in European courts of law.
Campo scientifico
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
Invito a presentare proposte
FP7-SEC-2013-1
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Meccanismo di finanziamento
CP-IP - Large-scale integrating projectCoordinatore
00144 Roma
Italia
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Partecipanti (17)
57001 Thermi Thessaloniki
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18545 Peiraias
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E1 4NS London
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SE1 2AA London
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TS24 OUX HARTLEPOOL
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0186 Oslo
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40549 Dusseldorf
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10623 Berlin
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T23 Cork
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00189 Roma
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DA15 8GU Sidcup London
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7000 MONS
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91120 Palaiseau
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28040 Madrid
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4465 671 PORTO LECA DO BALIO
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28014 MADRID
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SE10 9LS London
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