A distributed data-mining
software platform for
EXTReme dAta Across the
Compute conTinuum

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.

Successful Poster Session at 2024 womENcourage Conference

Successful Poster Session at 2024 womENcourage Conference

The EXTRACT project received many visitors as part of the first poster session of the 11th ACM Celebration of Women in Computing: womENcourage™ event. From June 26-28 June 2024, computing experts came together in Madrid to celebrate the role and impact of women in...

Great Strides for Integration thanks to internal hackathon

Great Strides for Integration thanks to internal hackathon

Members of the EXTRACT project consortium met in Barcelona for an intense three-day Hackathon that allowed the team to focus on technology integration and problem-solving. The Hackathon forms part of the larger EXTRACT strategy to ensure that the technological...

EXTRACT showcases AI/Data advances at ADR Digital Exhibit

EXTRACT showcases AI/Data advances at ADR Digital Exhibit

Members of the EU AI Community came together as part of the online European Convergence Summit, hosted by the AI, Data and Robotics Association ecosystem to showcase solutions at the intersection of these three critical technologies. On 19 June 2024, EXTRACT...

EXTRACT Co- Hosts Hackathon at 2024 NESU Conference

EXTRACT Co- Hosts Hackathon at 2024 NESU Conference

The 2024 Nordic Economics Sudients’ Union (NESU) Autumn Conference is welcoming EXTRACT partner, Binare Oy, as co-organiser of a full-day Hackathon. Binare will present the EXTRACT project to future business professionals interested in applying cutting-edge research to real-life challenges.

EXTRACT INVITED TALK on the Compute Continnum @ 2024 AEiC

The 28th Ada-Europe International Conference on Reliable Software Technologies (AEiC 2024) was held in Barcelona from 11-14 June 2024. The conference is the latest in a series of annual international conferences started in the early 80's, under the auspices of...

Digital Booth in ADR Exhibition

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...