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 Videos highlight Benefits of EU Tech for Addressing Social and Research Challenges
Watch our videos to learb how the EXTRACT project is harnessing the power of data and testing its solutions in the PER and TASKA use case.
Simulating Movement to Test Learning Strategies in the PER use Case
Implementing the PER system and creating a Multi-Agent Reinforcement Learning (MARL) model requires a preliminary phase that simulates the possible movements of people in an emergency situation to properly train the model.. A true-to-life simulator offers a safe and controlled platform for testing learning strategies in different situations.
Venice Draws on Experience of Retired Police to Highlight Crowd Movement for PER use case
On 2 February 2024, fifty retired policemen and women were called on to participate in a simulation activity that feeds into the project’s Personalised Evacuation Route use case. These volunteers met on San Servola island to help visually represent the change in crowd speed stemming from different obstacles put in their path.
9th Int´l WS on Serverless Computing
Partner URV participated in the 9th International Workshop on Serverless Computing (WoSC9). This workshop brought together researchers and practitioners to discuss their experienes and thoughts on future directions for the field. More information on the workshop is...
EXTRACT Project and LOGOS: Enhancing European Collaboration at the ‘Connect & Create’ Event
EXTRACT partner, LOGOS RI, participated in the networking event “Connect & Create,” organized by the Grant Office for European funding from the Italian Ministry of Culture and the Fondazione Scuola dei beni e delle attività culturali, with support from Aedeka and...
SMART CITY presentation: Edge computing for safer and cleaner mobility
On 9 November 2023, Barcelona Supercomputing Center partner, Elli Kartsakli, will present at the 2023 Smart City Expo World Congress in Barcelona, Spain. Elli will talk about "Edge Computing for a Cleaner and Safer Mobility" at the Generalitat de Catalunya booth. The...