SEcure Decentralised Intelligent Data MARKetplace

Projektinformationen

SEDIMARK

ID Finanzhilfevereinbarung: 101070074

DOI

10.3030/101070074

Projekt abgeschlossen

EK-Unterschriftsdatum 15 Juni 2022

Startdatum 1 Oktober 2022

Enddatum 30 September 2025

Finanziert unter

• Digital, Industry and Space

Gesamtkosten

€ 5 250 985,00

EU-Beitrag

€ 4 396 835,50

Koordiniert durch

ATOS IT SOLUTIONS AND SERVICES IBERIA SL
Spain

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

Documents, reports (7)

SEDIMARK architecture and interfaces. First version

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

Use cases definition and initial requirement analysis

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

Dissemination and exploitation plan

Main plan for the dissemination, exploitation and communication activities

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

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

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

Demonstrators, pilots, prototypes (4)

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.

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

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

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.

Veröffentlichungen

Book chapters (3)

Entity Matching with Large Language Models as Weak and Strong Labellers

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

Leveraging Edge Analytics for Enhanced Data Quality in IoT Systems

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

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

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

Other (1)

A decentralised architecture for secure exchange of assets in data spaces: The case of SEDIMARK

Autoren: 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, Grigorios; Vlacheas, Panagiotis; Sánchez González, Luis; Santana Martínez, Juan Ramón; Sotres García, Pablo; Tragos, Elias Z.
Veröffentlicht in: Data in Brief, 2025
Herausgeber: Springer
DOI: 10.1016/J.DIB.2025.111757

Peer reviewed articles (3)

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

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

Contemporary development directions for urban digital twins

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

Pneumonia Image Classification Using DenseNet Architecture

Autoren: Mihai Bundea, Gabriel Mihail Danciu
Veröffentlicht in: Information, Ausgabe 15, 2025, ISSN 2078-2489
Herausgeber: MDPI AG
DOI: 10.3390/INFO15100611

Conference proceedings (8)

ASML: A Scalable and Efficient AutoML Solution for Data Streams

Autoren: Nilesh Verma, Albert Bifet, Bernhard Pfahringer, Maroua Bahri
Veröffentlicht in: International Conference on Automated Machine Learning, 2024
Herausgeber: Sorbonne University

Multi-Label Transfer Learning in Non-Stationary Data Streams

Autoren: Du, Honghui, Leandro Minku, Aonghus Lawlor, and Huiyu Zhou
Veröffentlicht in: 2025 IEEE International Conference on Data Mining (ICDM), 2025
Herausgeber: IEEE

Elevating Water Flow Level Predictions through Strategic Feature Elimination

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

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

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

NodeRec+: A Lightweight Framework for Federated Recommender Systems

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

Exploring Coresets for Efficient Training and Consistent Evaluation of Recommender Systems

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

Data Marketplaces for Enhanced Water Management

Autoren: Franck Le Gall, Jérôme Grégoire, Jérémy Deremarque, Thomas Bousselin and Iheb Khelifi
Veröffentlicht in: SimHydro 2025, 2025
Herausgeber: Société Hydrotechnique de France

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

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

Monographic books (1)

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

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