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.
TASKA “A” Use Case: “A”gile detection and analysis of solar activity using NenuFAR radiotelescopes
The TASKA “A” use case seeks to efficiently detect and model the solar activity received by the NenuFAR radiotelescope in Nançay, France. The goal is to develop an automatic data processing and identification system that will allow for real-time data processing and...
Successful presentation of the PER case at the Smart City Expo World Congress
Eduardo Quiñones, principal investigator of the project, along with Enrico Gavagnin, Venice Councillor and Marc Montlleó, Director of Environmental Projects at Barcelona Regional, presented Big Data and AI for enhanced urban decision-making at the Smart City Expo...
BINARÉ-hosted EXTRACT hackathon drives innovation at the NESU Autumn Conference: Students deliver impressive long-term sustainability plans
Nordic business students participated in the Binaré-organized Hackathon to develop innovative exploitation and sustainability strategies for EXTRACT, showcasing their creativity and business potential. On October 16th, the city of Pori hosted the Nordic Economic...
Digital Booth in ADR Exhibition
This year's European Convergence Summit 2024 will include a very special co-located Digital Exhibition on AI, Data and Robotics Technology. EXTRACT will have a digital booth showcasing its work at the intersection of AI and data. Several EC-funded projects will share...
URV Presents “Data Plug” at CCGRID’24
Aitor Arjona from URV presented in the session on Distributed and Parallel Storate Systems 1#, at the 24th IEEE/ACM International Sypoisum on Cluster, Cloud and Internet Computing (CCGRID), held in Philadelphia, USA from 6-9 May 2024.
EXTRACT Shares PER Urban Digital twin@ CSC-hosted Seminar
The EXTRACT project will join the CSC's Digital Twins Technologies group at their Digital Twin seminar around the theme Climate, Forest, Water on 27 May 2024. Partner BINARE will share a poster on the EXTRACT's Urban Digital Twin in the PER use case. The seminar aims...