SEcure Decentralised Intelligent Data MARKetplace

Informazioni relative al progetto

SEDIMARK

ID dell’accordo di sovvenzione: 101070074

DOI

10.3030/101070074

Progetto chiuso

Data della firma CE 15 Giugno 2022

Data di avvio 1 Ottobre 2022

Data di completamento 30 Settembre 2025

Finanziato da

• Digital, Industry and Space

Costo totale

€ 5 250 985,00

Contributo UE

€ 4 396 835,50

Coordinato da

ATOS IT SOLUTIONS AND SERVICES IBERIA SL
Spain

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Demonstrators, pilots, prototypes (11)

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

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

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

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

Report and software for the integrated platform. Final 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

Enabling tools for data interoperability, distributed data storage and training distributed AI models. Final 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. Final 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 (11)

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

Edge data processing and service certification. Final version

Report on tools and processes for enabling data processing and sharing in an interoperable way at the data sources. Final 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 (3)

Data Management Action Plan. Final version

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

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

Pubblicazioni

Book chapters (3)

Entity Matching with Large Language Models as Weak and Strong Labellers

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

Leveraging Edge Analytics for Enhanced Data Quality in IoT Systems

Autori: Marianne MAROT, Gilles ORAZI, Luis SANCHEZ, Laura MARTIN, Diarmuid O’REILLY-MORGAN, Erika DURIAKOVA, Elias TRAGOS, Franck LE GALL
Pubblicato in: Springer Handbook for Data Engineering, Numero 1, 2024, ISSN 2522-8692
Editore: Springer

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

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

Peer reviewed articles (5)

Data in Brief

Autori: 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
Pubblicato in: Data in Brief, 2025, ISSN 2352-3409
Editore: Elsevier BV
DOI: 10.1016/J.DIB.2025.111757

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

Autori: Juan Ramón Santana, Luis Sánchez, Martin Bauer, Benjamin Hebgen, Ernö Kovacs, Satsuki Hamaguchi, Yuriko Nomura
Pubblicato in: IT Professional, Numero 27, 2025, ISSN 1520-9202
Editore: 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

Autori: Leonardo Perugini, Andrea Vesco
Pubblicato in: Internet of Things, ISSN 2542-6605
Editore: Elsevier
DOI: 10.1016/J.IOT.2024.101103

Contemporary development directions for urban digital twins

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

Pneumonia Image Classification Using DenseNet Architecture

Autori: Mihai Bundea, Gabriel Mihail Danciu
Pubblicato in: Information, Numero 15, 2025, ISSN 2078-2489
Editore: MDPI AG
DOI: 10.3390/INFO15100611

Other (5)

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

Editore: SEDIMARK

Edge data processing and service certification. First version

Editore: SEDIMARK

Dissemination and Impact creation activities. First version

Editore: SEDIMARK

Data sharing platform and incentives. First version

Editore: SEDIMARK

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

Editore: SEDIMARK

Conference proceedings (16)

ASML: A Scalable and Efficient AutoML Solution for Data Streams

Autori: Nilesh Verma, Albert Bifet, Bernhard Pfahringer, Maroua Bahri
Pubblicato in: International Conference on Automated Machine Learning, 2024
Editore: Sorbonne University

Multi-Label Transfer Learning in Non-Stationary Data Streams

Autori: Du, Honghui, Leandro Minku, Aonghus Lawlor, and Huiyu Zhou
Pubblicato in: 2025 IEEE International Conference on Data Mining (ICDM), 2025
Editore: IEEE

Elevating Water Flow Level Predictions through Strategic Feature Elimination

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

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

Autori: Guilhermina Torrao, Juho-Pekka Virtanen, Emmi Volanen
Pubblicato in: 2025 International Workshop on Intelligent Systems (IWIS), 2025
Editore: IEEE
DOI: 10.1109/IWIS66215.2025.11142394

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

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

NodeRec+: A Lightweight Framework for Federated Recommender Systems

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

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

Autori: Rachit Agarwal, Tarek Elsaleh, Elias Tragos
Pubblicato in: ISBN 978-1-6654-9153-2
Editore: IEEE
DOI: 10.1109/WF-IOT54382.2022.10152206

Towards Efficient Structured Description Generation for Data Marketplace Offerings

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

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

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

AutoClass: AutoML for Data Stream Classification

Autori: Maroua Bahri, Georgantas, Nikolaos
Pubblicato in: ISBN 979-8-3503-2445-7
Editore: IEEE
DOI: 10.1109/BIGDATA59044.2023.10386362

Exploring Coresets for Efficient Training and Consistent Evaluation of Recommender Systems

Autori: Zheng Ju, Honghui Du, Elias Tragos, Neil Hurley, Aonghus Lawlor
Pubblicato in: 18th ACM Conference on Recommender Systems, 2025
Editore: ACM
DOI: 10.1145/3640457.3691716

Transforming Mage AI Workflows into Standardized CWL and Python Pipelines

Autori: Stefan-Cristian Jarcau, Gabriel-Mihail Danciu, Septimiu Nechifor, Erika Duriakova, Grigorios Koutantos, Tarek Elsaleh, Panagiotis Vlacheas, Mihnea Ionut Lopataru
Pubblicato in: 2025 EuCNC & 6G
Editore: --

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

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

Data Marketplaces for Enhanced Water Management

Autori: Franck Le Gall, Jérôme Grégoire, Jérémy Deremarque, Thomas Bousselin and Iheb Khelifi
Pubblicato in: SimHydro 2025, 2025
Editore: Société Hydrotechnique de France

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

Autori: Horia Alexandru Modran, Gabriel Mihail Danciu
Pubblicato in: 2025 IEEE Conference on Standards for Communications and Networking (CSCN), 2025
Editore: IEEE
DOI: 10.1109/CSCN67557.2025.11230707

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

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

Monographic books (1)

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

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