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 .

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