Delivering a data-driven open-source platform integrating cloud, edge and HPC technologies for trustworthy, accurate, fair and green data mining workflows for high-quality actionable knowledge
Objectives
Enable the development of complex and secure data mining workflows
Develop novel data-driven orchestration mechanisms to efficiently deploy and execute data mining workflows
Deliver the EXTRACT software platform and demonstrate its benefits in two use cases
Fully exploit the performance capabilities of the compute continuum to effectively address extreme data characteristics (high volume, variety, velocity, veracity) holistically
Foster the adoption of EXTRACT technology by industrial and academic communitie
Use cases
Personalized Evacuation Routing (PER) System
A Personalized Evacuation Routing (PER) System will serve to guide citizens in an urban environment (the city of Venice) through a safe route in real time.
The EXTRACT platform will be used to develop, deploy and execute a data-mining workflow to generate personalized evacuation routes for each citizen, displayed in a mobile phone app, by processing and analysing extreme data composed of Copernicus and Galileo satellite data, IoT sensors installed across the city, 5G mobile signal, and a semantic data lake fusing all this information.
Transient Astrophysics with a Square Kilometer Array Pathfinder (TASKA)
The Transient Astrophysics with a Square Kilometer Array Pathfinder (TASKA) case will use EXTRACT technology to develop data mining workflows that effectively reduce the huge amount of raw data produced by NenuFAR radio-telescopes by a factor of 100. This will allow the populating of high-quality datasets that will be openly accessible to the astronomy community (through the EOSC portal) to be leveraged for multiple research activities.
Improving the Performance of the TASKA Use Case through Parallelisation
To help generate the high-resolution images generated from the data received from the SKA antennas, EXTRACT project is pursuing technical synergies that will help create and improve the workflows used in the TASKA use case by integrating the latest cloud technologies in data processing parallelisation.
EXTRACT Coordintator Gives Keynote at AMLE Summer School
EXTRACT project coordinator, Dr Eduardo Quiñones was invited to give a keynote speech at the Adaptive Machine Learning at the Network Edge (AMLE)...
EXTRACT Presence at 2023 IEEE International Conference on Cyber Security and Resilience
Date: August 2, 2023 Location: Venice, Italy EXTRACT partners LOGOS RI, MATHEMA and BINARÉ participated in the renowned 2023 IEEE International...
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