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Project Information

ID: 607480

Start date

01-05-2014

End date

31-10-2017


Institutional Coordinator
Polytechnic University of Madrid

Financing

435 809,00 Euros
(Total amount or amount awarded)

More information in

Scope

Internacional no UE

Country

Belgium; Germany; Gran Bretanya; Macao; Spain; United Kingdom

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March 16, 2021
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Competitive project
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LArge Scale Information Exploitation of Forensic Data

Researchers:

Menendez Garcia, Jose Manuel (Investigador principal (IP)); TAPIA MERINO, JOSE RAMON (Participante); CASTAÑEDA MARTIN, ERNESTO (Participante); KOBLENTS LAPTEVA, EUGENIA (Participante); RODRIGO FERRAN, JUAN ANTONIO (Participante); CONTI, GIUSEPPE (Participante); URIBE MAYORAL, SILVIA ALBA (Participante); QUINTANA GONZALEZ, MARCOS (Participante); ALVAREZ GARCIA, FEDERICO (Participante); BELMONTE HERNÁNDEZ, ALBERTO (Participante)
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Related entities

ACIC SA - Participant
Ayuntamiento de Madrid - Participant
Centre for Research and Technology Hellas - Participant
Ethniko Kentro Erevnas kai Technologies Anaptyxis - Participant
Huawei Technologies Duesseldorf, GmbH - Participant
Innovation Engineering SRL - Participant
Institut Mines-Telecom - Participant
Institutt for Fredsforskning Stiftelse - Participant
Metropolitan Police Service - Participant
Neuropublic A.E. PLIROFORIKIS & EPIKOINONION - Participant
QMUL - Queen Mary and Westfield College, University of London - Participant
Queen Mary University of London - Participant
Sensegraph Limited - Participant
Technische Universitat Berlin - Participant
United Technologies Research Centre Ireland, Limited - Participant
Universidad Politécnica de Madrid - Participant
University of Greenwich - Participant
Venaka Media Limited - Participant
Visionware-Sistemas de Informacao SA - Participant
See more

Quality index

Call

FP7

Financer

Comisión Europea

Institutional Coordinator

Si

Most relevant results

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.