SEcure Decentralised Intelligent Data MARKetplace

Informations projet

SEDIMARK

N° de convention de subvention: 101070074

DOI

10.3030/101070074

Projet clôturé

Date de signature de la CE 15 Juin 2022

Date de début 1 Octobre 2022

Date de fin 30 Septembre 2025

Financé au titre de

• Digital, Industry and Space

Coût total

€ 5 250 985,00

Contribution de l’UE

€ 4 396 835,50

Coordonné par

ATOS IT SOLUTIONS AND SERVICES IBERIA SL
Spain

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Demonstrators, pilots, prototypes (7)

Integrated releases of the SEDIMARK platform. First version

Report and software for the integrated platform. First version

Energy efficient AI-based toolset for improving data quality. First version

Report and code for the output of Tasks 3.1 and 3.5, detailing the techniques for improving data quality in an energy efficient way. First version

Enabling tools for data interoperability, distributed data storage and training distributed AI models. First version

Report/code for the outputs of Tasks 3.2, 3.3 and 3.4, detailing the models for ensuring data interoperability, distributed storage of data and how they are used for training distributed AI models. First version.

Integrated releases of the SEDIMARK platform. Second version

Report and software for the integrated platform. Second version

Demonstrators integration, testing and assessment of system performance. First version

Report and demonstrators for the use cases execution, testing results, overall assessment and best practices. First version

Data sharing platform and incentives. Final version

Report and code for the services of the data sharing platform, including incentives for ethical sharing. Final version.

Data sharing platform and incentives. First version

Report and code for the services of the data sharing platform, including incentives for ethical sharing. First version

Websites, patent fillings, videos etc. (1)

Project website and dissemination material

The project website will be online and dissemination material (i.e. leaflets, brochures) will be designed.

Documents, reports (10)

Decentralized infrastructure and access management

Definition of the decentralised infrastructure and the identity and access management techniques, output of T3.1 and T3.3. Final version

Evaluation methodology, metrics and integration plan

Definition of the plan for integration and evaluation of SEDIMARK and the metrics used for testing.

Dissemination and Impact creation activities. First version

Dissemination, exploitation and communication activities to be updated. Report on the project activities for dissemination, communication and cooperation with other initiatives: First version

SEDIMARK architecture and interfaces. First version

Intermediate specification of the SEDIMARK architecture and interfaces, including updated requirements

Dissemination and exploitation plan

Main plan for the dissemination, exploitation and communication activities

Decentralized infrastructure and access management. First version

Definition of the decentralised infrastructure and the identity and access management techniques, output of T3.1 and T3.3. First version

Use cases definition and initial requirement analysis

This report will provide the initial detailed description of the project use cases and the initial requirements.

Edge data processing and service certification. First version

Report on tools and processes for enabling data processing and sharing in an interoperable way at the data sources. First version

Dissemination and Impact creation activities. Final version

Dissemination, exploitation and communication activities to be updated. Report on the project activities for dissemination, communication and cooperation with other initiatives. Final version

SEDIMARK architecture and interfaces. Final version

The final specification of the SEDIMARK architecture and interfaces, including updated requirements

Data Management Plan (2)

Data Management Action Plan. First version

This deliverable will detail the implementation of the Open Research Data policy of the EC in HE. First version

Data Management Action Plan. Second version

This deliverable will detail the implementation of the Open Research Data policy of the EC in HE. Second version

Publications

Book chapters (3)

Entity Matching with Large Language Models as Weak and Strong Labellers

Auteurs: Diarmuid O’Reilly-Morgan, Elias Tragos, Erika Duriakova, Honghui Du, Neil Hurley, Aonghus Lawlor
Publié dans: Communications in Computer and Information Science, New Trends in Database and Information Systems, 2024
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-70421-5_6

Leveraging Edge Analytics for Enhanced Data Quality in IoT Systems

Auteurs: Marianne MAROT, Gilles ORAZI, Luis SANCHEZ, Laura MARTIN, Diarmuid O’REILLY-MORGAN, Erika DURIAKOVA, Elias TRAGOS, Franck LE GALL
Publié dans: Springer Handbook for Data Engineering, Numéro 1, 2024, ISSN 2522-8692
Éditeur: Springer

DiffGR: A Discrete Diffusion-Based Model for Personalised Recommendation by Reconstructing User-Item Bipartite Graphs

Auteurs: Zheng Ju, Honghui Du, Elias Tragos, Neil Hurley, Aonghus Lawlor
Publié dans: Lecture Notes in Computer Science, Advances in Information Retrieval, 2025
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-88714-7_23

Peer reviewed articles (5)

Data in Brief

Auteurs: Duriakova, Erika; O'Reilly-Morgan, Diarmuid; Bahri, Maroau; Costalonga, Maxime; Danciu, Gabriel; Nechofor, Septimiu; Jarcau, Stefan-Cristian; Elsaleh, Tarek; Wu, Peipei; Le Gall, Franck; Koutantos, Gr
Publié dans: Data in Brief, 2025, ISSN 2352-3409
Éditeur: Elsevier BV
DOI: 10.1016/J.DIB.2025.111757

On the Need of International Cross-Data Space Interworking: An EU–Japan Case Study

Auteurs: Juan Ramón Santana, Luis Sánchez, Martin Bauer, Benjamin Hebgen, Ernö Kovacs, Satsuki Hamaguchi, Yuriko Nomura
Publié dans: IT Professional, Numéro 27, 2025, ISSN 1520-9202
Éditeur: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/MITP.2025.3545214

On the integration of Self-Sovereign Identity with TLS 1.3 handshake to build trust in IoT systems

Auteurs: Leonardo Perugini, Andrea Vesco
Publié dans: Internet of Things, ISSN 2542-6605
Éditeur: Elsevier
DOI: 10.1016/J.IOT.2024.101103

Contemporary development directions for urban digital twins

Auteurs: Juho-Pekka Virtanen, Jukka Alander, Heli Ponto, Ville Santala, Renske Martijnse-Hartikka, Andreas Andra, Timo Sillander
Publié dans: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Numéro XLVIII-4/W10-2024, 2024, ISSN 2194-9034
Éditeur: Copernicus GmbH
DOI: 10.5194/ISPRS-ARCHIVES-XLVIII-4-W10-2024-177-2024

Pneumonia Image Classification Using DenseNet Architecture

Auteurs: Mihai Bundea, Gabriel Mihail Danciu
Publié dans: Information, Numéro 15, 2025, ISSN 2078-2489
Éditeur: MDPI AG
DOI: 10.3390/INFO15100611

Other (5)

Enabling tools for data interoperability, distributed data storage and training distributed AI models. First version

Éditeur: SEDIMARK

Edge data processing and service certification. First version

Éditeur: SEDIMARK

Dissemination and Impact creation activities. First version

Éditeur: SEDIMARK

Data sharing platform and incentives. First version

Éditeur: SEDIMARK

Energy efficient AI-based toolset for improving data quality. First version

Éditeur: SEDIMARK

Conference proceedings (16)

ASML: A Scalable and Efficient AutoML Solution for Data Streams

Auteurs: Nilesh Verma, Albert Bifet, Bernhard Pfahringer, Maroua Bahri
Publié dans: International Conference on Automated Machine Learning, 2024
Éditeur: Sorbonne University

Multi-Label Transfer Learning in Non-Stationary Data Streams

Auteurs: Du, Honghui, Leandro Minku, Aonghus Lawlor, and Huiyu Zhou
Publié dans: 2025 IEEE International Conference on Data Mining (ICDM), 2025
Éditeur: IEEE

Elevating Water Flow Level Predictions through Strategic Feature Elimination

Auteurs: Iuliana-Andreea Stroia-Vlad, Danciu Gabriel Mihail, Nechifor Cosmin Septimiu
Publié dans: 2024 IEEE International Conference And Exposition On Electric And Power Engineering (EPEi), 2024
Éditeur: IEEE
DOI: 10.1109/EPEI63510.2024.10758054

Exploring Digital Twins for Urban Mobility: Applications and the Case Study of Helsinki

Auteurs: Guilhermina Torrao, Juho-Pekka Virtanen, Emmi Volanen
Publié dans: 2025 International Workshop on Intelligent Systems (IWIS), 2025
Éditeur: IEEE
DOI: 10.1109/IWIS66215.2025.11142394

Optimizing Deep Learning for Edge Deployment via Weight Statistics Aware Network Pruning

Auteurs: Sneha Hanumanthaiah, Peipei Wu, Alex Mackin, Andrew Collins, Tarek Elsaleh, Xiatian Zhu
Publié dans: 2025 IEEE Conference on Standards for Communications and Networking (CSCN), 2025
Éditeur: IEEE
DOI: 10.1109/CSCN67557.2025.11230715

NodeRec+: A Lightweight Framework for Federated Recommender Systems

Auteurs: Diarmuid O'Reilly-Morgan, Erika Duriakova, Elias Tragos, Neil Hurley, Aonghus Lawlor
Publié dans: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
Éditeur: ACM
DOI: 10.1145/3726302.3730138

GDPR-inspired IoT Ontology enabling Semantic Interoperability, Federation of Deployments and Privacy-Preserving Applications

Auteurs: Rachit Agarwal, Tarek Elsaleh, Elias Tragos
Publié dans: ISBN 978-1-6654-9153-2
Éditeur: IEEE
DOI: 10.1109/WF-IOT54382.2022.10152206

Towards Efficient Structured Description Generation for Data Marketplace Offerings

Auteurs: M. Awan, A. Nadeem, J. R. Santana, P. Sotres, T. Bousselin, M. Costalonga, T. Elsaleh
Publié dans: 2025 IEEE Conference on Standards for Communications and Networking (CSCN), 2025
Éditeur: IEEE
DOI: 10.1109/CSCN67557.2025.11230736

A Novel DID Method Leveraging the IOTA Tangle and its Integration into OpenSSL

Auteurs: Alessio Claudio; Andrea Vesco
Éditeur: Springer
DOI: 10.1007/978-3-031-45155-3_38

AutoClass: AutoML for Data Stream Classification

Auteurs: Maroua Bahri, Georgantas, Nikolaos
Publié dans: ISBN 979-8-3503-2445-7
Éditeur: IEEE
DOI: 10.1109/BIGDATA59044.2023.10386362

Exploring Coresets for Efficient Training and Consistent Evaluation of Recommender Systems

Auteurs: Zheng Ju, Honghui Du, Elias Tragos, Neil Hurley, Aonghus Lawlor
Publié dans: 18th ACM Conference on Recommender Systems, 2025
Éditeur: ACM
DOI: 10.1145/3640457.3691716

Transforming Mage AI Workflows into Standardized CWL and Python Pipelines

Auteurs: Stefan-Cristian Jarcau, Gabriel-Mihail Danciu, Septimiu Nechifor, Erika Duriakova, Grigorios Koutantos, Tarek Elsaleh, Panagiotis Vlacheas, Mihnea Ionut Lopataru
Publié dans: 2025 EuCNC & 6G
Éditeur: --

A Decentralised DLT-based Offering Management and Asset Sharing Framework for Data Marketplaces

Auteurs: Pablo Sotres, Alberto Carelli, Michele Festa, Maxime Costalonga, Alvaro Fernandez Bejarano, Tarek Elsaleh, Sneha Hanumanthaiah, Victor González, Juan Ramón Santana
Publié dans: 2025 IEEE Conference on Standards for Communications and Networking (CSCN), 2025
Éditeur: IEEE
DOI: 10.1109/CSCN67557.2025.11230757

Data Marketplaces for Enhanced Water Management

Auteurs: Franck Le Gall, Jérôme Grégoire, Jérémy Deremarque, Thomas Bousselin and Iheb Khelifi
Publié dans: SimHydro 2025, 2025
Éditeur: Société Hydrotechnique de France

Quantifying Energy–Accuracy–Latency Trade-offs in Cloud-Offloaded and On-Device TinyML Inference on IoT Devices

Auteurs: Horia Alexandru Modran, Gabriel Mihail Danciu
Publié dans: 2025 IEEE Conference on Standards for Communications and Networking (CSCN), 2025
Éditeur: IEEE
DOI: 10.1109/CSCN67557.2025.11230707

RecPrompt: A Self-tuning Prompting Framework for News Recommendation Using Large Language Models

Auteurs: Dairui Liu, Boming Yang, Honghui Du, Derek Greene, Neil Hurley, Aonghus Lawlor, Ruihai Dong, Irene Li
Publié dans: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2025
Éditeur: ACM
DOI: 10.1145/3627673.3679987

Monographic books (1)

Elevating Data Quality A Paradigm Shift for Data Spaces and AI Needs

Auteurs: Daniel Alonso (BDVA), Arturo Medela (EVIDEN), Elias Tragos (UCD), Franck Le Gall (EGM), Gabriel Danciu (Siemens), Luis Sanchez (UC), Maroua Bahri (INRIA), et. Al.
Publié dans: 2024
Éditeur: Big Data Value Association