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.
EXTRACT Invited Talk at AeIC 2024
EXTRACT coordinator Eduardo Quiñones from the Barcelona Supercomputing Center was invited to speak at the 28th Ada-Europe International Conference on Reliable Software Technologoies (AEiC 2024), which took place 11-14 June in Barcelona. His talk took place on 12 June...
Introducing DATANEXUS: the EU Cluster Harnessing Extreme Data using Advanced European Technologies
As part of the Horizon Europe funding programme, seven pioneering projects have received funding to address the challenges posed by extreme data generated by Internet of Things (IoT), industrial, business, administration, environmental, scientific, societal sources....
Venice UDT Presented at CSC Digital TWin Seminar
Partner BINARE joined the CSC’s Digital Twins Technologies group at their Digital Twin seminar on 27 May 2024. They shared a poster on the Urban Digital Twin of Venice being prepard within the framework of the EXTRACT use case for a Personalised Evacuation Route. The...
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...
EXTRACT Poster at womENcourage™ 2024
BSC partner, Alba Canete, will be presenting the EXTRACT project at the 2024 11th ACM Celebration of Women in Computing: womENcourage™ event, held in Madrid from 26-28 June 2024. The EXTRACT project will be shared as part of the first Poster Session, held on 26 June...