
This tool will allow for automatic discovery of new, unsuspected relations within the large datasets.
Represent knowledge in an open, standardized manner to unlock the discovery of relations and enable interoperability.
This platform will provide heterogeneous data mining and multimedia content indexing, making it available for further processing.
To enable trends analysis and assessment of threat levels.
To deliver immersive and interactive Human Machine Interfaces (HMIs) that enhance situational awareness.
This tool will allow for automatic discovery of new, unsuspected relations within the large datasets.
Represent knowledge in an open, standardized manner to unlock the discovery of relations and enable interoperability.
This platform will provide heterogeneous data mining and multimedia content indexing, making it available for further processing.
To enable trends analysis and assessment of threat levels.
To deliver immersive and interactive Human Machine Interfaces (HMIs) that enhance situational awareness.
The sheer amount of multimedia and textual data related to terrorist attacks makes an already difficult and sensitive task even more challenging.
The MAGNETO project will facilitate digital forensics investigations, in order to:
Cases of corruption and economic organized crime result in an average data volume of 5-15TeraBytes per case.
A series of tools will be integrated allowing the seamless exchange of data, enabling faster processing of the very large amounts of data in supraregional and international cases. In addition, it will be possible to identify the relationships between the different groups involved in the criminal activities and discover and prevent future planned criminal actions.
Terrorist activity is a multifaceted type of crime, and information about it is derived from various sources, in many formats.
The solution developed by MAGNETO will allow for cross searches, despite obstacles such as data volumes, formats and multilingualism. The MAGNETO framework will support biometric information such as the collection of fingerprints at borders, and envisages full interoperability of all different components. Throughout all, EU and National legal framework will always be taken into account.
A major source of revenue for organized crime is the organization of parallel illegal economic circuits bypassing taxes, state monopolies or quality inspection. Current investigation processes are very complex as the Police forces have to contact dozens of different institutions and entities, in order to collect the necessary information.
The MAGNETO system should be able to support the intelligent management, exploitation and correlation of the data that are accessible by the LEA. The main functions that will support the Police in their fight against illegal trade will include correlation of available data and extraction (from these data) of patterns confirming suspicions and indicating that a crime has indeed been committed (or is in progress).
Currently, LEAs collate identity crime data in many differing formats making the examination of these data challenging and preventing the sharing with other LEAs.
MAGNETO will define open common data models and minimum interfaces, which will enable data to be processed and evidence extracted. Standard interfaces and interoperable tools will allow for crossing of boundaries and borders.
The sheer amount of multimedia and textual data related to terrorist attacks makes an already difficult and sensitive task even more challenging.
The MAGNETO project will facilitate digital forensics investigations, in order to:
Cases of corruption and economic organized crime result in an average data volume of 5-15TeraBytes per case.
A series of tools will be integrated allowing the seamless exchange of data, enabling faster processing of the very large amounts of data in supraregional and international cases. In addition, it will be possible to identify the relationships between the different groups involved in the criminal activities and discover and prevent future planned criminal actions.
Terrorist activity is a multifaceted type of crime, and information about it is derived from various sources, in many formats.
The solution developed by MAGNETO will allow for cross searches, despite obstacles such as data volumes, formats and multilingualism. The MAGNETO framework will support biometric information such as the collection of fingerprints at borders, and envisages full interoperability of all different components. Throughout all, EU and National legal framework will always be taken into account.
A major source of revenue for organized crime is the organization of parallel illegal economic circuits bypassing taxes, state monopolies or quality inspection. Current investigation processes are very complex as the Police forces have to contact dozens of different institutions and entities, in order to collect the necessary information.
The MAGNETO system should be able to support the intelligent management, exploitation and correlation of the data that are accessible by the LEA. The main functions that will support the Police in their fight against illegal trade will include correlation of available data and extraction (from these data) of patterns confirming suspicions and indicating that a crime has indeed been committed (or is in progress).
Currently, LEAs collate identity crime data in many differing formats making the examination of these data challenging and preventing the sharing with other LEAs.
MAGNETO will define open common data models and minimum interfaces, which will enable data to be processed and evidence extracted. Standard interfaces and interoperable tools will allow for crossing of boundaries and borders.