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.
Sharing EXTRACT´s vision with Smart City Attendees
EXTRACT partner Elli Kartsakli from the Barcelona Supercomputing Center (BSC-CNS) presented at the Generalitat de Catalunya Agora of the 2023 Smart City Expo World Congress. Elli´s presentation, "Edge computing for safe and clean mobility in smart cities" was...
Leveraging Multi-Agent Reinforcement Learning for a safe personalized escape route
An effective response is paramount in the event of unforeseen calamities such as natural disasters or attacks. EXTRACT seeks to help prepare effective responses in the case of emergency situations by extracting extreme volumes of data to inform actionable knowledge....
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.
BDVA ‘Get to know’ introductory workshop and welcome day
The EXTRACT project e-met fellow Horizon Europe Projects at the BDVA – Big Data Value Association’s “Get-to-know” introductory workshop . Project coordinator, Eduardo Quiñones from the Barcelona Supercomputing Center presented the EXTRACT project to 26 other Horizon...