Digital Open Marketplace Ecosystem 4.0

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

Tools for data analytics

The deliverable includes the software design specification and implementation of tools and services to enable DOME 4.0 facilitated data workflows, tools to query and manipulate data and data streams, as well as derivative tools to enable more complex workflows, including simulation and modelling workflows. The specification and first integrated prototypes for an initial set of tools and services will be delivered as an internal deliverable by M18, with continuous improvements and final releases by M48. The software design and development is carried out in accordance to the specification of D1.1.

Semantic API container component, final version

This deliverable will provide an implemented and tested Semantic API container component to be used in the Data Connector implementation.

Reference Data Connector and B2B data connectors

Data Connectors are enablers of semantic data exchange on the DOME 4.0 platform. This deliverable will provide a reference data connector as an orchestrated container service of containers.

DOME 4.0 web platform, final release

Final version of DOME 4.0 web platform released and available.

Data transaction and clearing system

The deliverable includes the software design specification and implementation for a service for the automated and clearing and tracking of all data transactions facilitated by DOME 4.0 in accordance with policies established to protect the participant’s data privacy. The specification and a first integrated prototype of the software service will be delivered as an internal deliverable by M18 with continuous improvements and a final release by M30. The software design and development is carried out in accordance to the specification of D1.1.

Data sovereignty and provenance system

The deliverable includes the software design specification and implementation for a service to track data sovereignty and provenance of data entities in DOME 4.0 facilitated transactions. The specification and a first integrated prototype of the software service will be delivered as an internal deliverable by M18 with continuous improvements and a final release by M30. The software design and development is carried out in accordance to the specification of D1.1.

Ecosystem information model ontology

A common language for collaborative distributed brokering, identity, provenance, and data sovereignty is required for the DOME 4.0, and this task will deliver an information model and an ontology to define this common language.

Tools for simulation and modelling workflows

The deliverables includes the software design specification and implementation for tools and services to enable more complex simulation and modelling as well as machine learning workflows. Prototypes of an initial set of tools and services will be delivered as an internal deliverable by M18 with continuous improvements and final releases by M48. The software design and development is carried out in accordance to the specification of D1.1.

Semantic data exchange ontology

The semantic exchange of data between data providers and data consumers requires an ontology that will be developed and delivered in this task.

Onboarding Services

Tools that guide users through common usage scenarios available on the DOME 4.0 web platform.

Semantic broker service

This deliverable will implement and test the broker service used to semantically match data consumers, data providers and service providers.

CUDS specification and reference implementation

The existing Common Universal Data Structures (CUDS, https://github.com/simphony/osp-core, implemented in Python) is extended to support multiple features needed for large scale efficient semantic data exchange across geographical locations and platforms in a secure manner. The delivery will consist of an up-dated data structure specification for CUDS and extended with reference implementations for the languages and platforms needed by the showcases, i.e. a C and JavaScript implementation.

Dissemination & Communication

Report on the dissemination and communication plan and the performed activities.

Technical requirements for data tools and services

The report will include an analysis of what tools and services are needed to address the needs of the core platform and the success stories as well as their individual technical requirements The report will also include shared requirements by the tools and services for the core platform architecture and services All requirements must be evaluated towards their significance of enabling success stories and their necessity to enable compliance with FAIR data principles and prioritized accordingly using the MoSCoW method

Community Building Plan: Industrial & Partner Networks, Standardisation Bodies

Report describing the community building plan for industrial partner networks standardisation bodies

Progress Report of the interactions with other relevant initiatives, v2

Second report on the progress of collaboration and interactions with other active and relevant data platform initiatives and associations.

Report on DOME 4.0 FAIR compliance

The initial internal report (M12) will include the specification of a scoring method by which the adherence of processes executed and data exchanged on the DOME 4.0 platform to FAIR principles can be measured and evaluated. These are translated into technical requirements as part of D2.1. The report is amended in regular intervals (internal releases M24 and M46, and final release M48) with revisions to the scoring method, an evaluation of compliance of participants and processes on DOME 4.0 with FAIR principles, and recommendations on how to improve it.

Report on the Industrial Engagement Open Day Workshops

Report on the Industrial Engagement Open Day Workshops performed, including information collected during the workshops and follow up engagement, information collected in mapping, surveys and interviews.

Report on data availability, data structure, and data requirements for each showcase

This report documents the showcase data sources needed and their availability

Education Training Model, Webinar & Training Material

Report on the education and training model, webinars held and training material created during this project.

Industrial, Partner & Standardisation network liaisons Report

Report on the progress and experiences from the community building of industrial, partner networks, standardisation bodies.

Report on the three Hackathons

Report on the three Hackathons performed with innovators and creative young talent.

Standards and best practices Report

Report on best practices, standards and technologies and how other parties use them.

Progress Report of the interactions with other relevant initiatives, v1

First report on the progress of collaboration and interactions with other active and relevant data platform initiatives and associations.

Cooperation Report with NMBP-39-2020-CSA

Report on the coordination activities with the NMBP-39-2020-CSA consortium.

Pubblicazioni

Neuro-Symbolic AI at Bosch: Data Foundation, Insights, and Deployment

Autori: Baifan Zhou, Zhipeng Tan, Zhuoxun Zheng, Dongzhuoran Zhou, Yunjie He, Yuqicheng Zhu, Muhammad Yahya, Trung-Kien Tran, Daria Stepanova, Mohamed H. Gad-Elrab, Evgeny Kharlamov
Pubblicato in: 2022
Editore: CEUR Workshop Proceedings

Aspects of data interoperability via ontologies in DOME4.0 and OntoCommons projects

Autori: Silvia Chiacchiera
Pubblicato in: Numero 22, 2023
Editore: Zenodo
DOI: 10.5281/zenodo.8318195

ScheRe: Schema Reshaping for Enhancing Knowledge Graph Construction

Autori: Dongzhuoran Zhou, Baifan Zhou, Zhuoxun Zheng, Ahmet Soylu, Ognjen Savkovic, Egor V. Kostylev, Evgeny Kharlamov
Pubblicato in: Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2024, Pagina/e 5074-5078
Editore: ACM
DOI: 10.1145/3511808.3557214

Towards Executable Knowledge Graph Translation

Autori: Dongzhuoran Zhou, Baifan Zhou, Zhuoxun Zheng, Zhipeng Tan, Egor V. Kostylev, Evgeny Kharlamov
Pubblicato in: 2022
Editore: CEUR Workshop Proceedings

Towards A Statistic Ontology for Data Analysis in Smart Manufacturing

Autori: Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou, Akif Quddus Khan, Ahmet Soylu, Evgeny Kharlamov
Pubblicato in: 2022
Editore: CEUR Workshop Proceedings

Query-based Industrial Analytics over Knowledge Graphs with Ontology Reshaping

Autori: Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou, Gong Cheng, Ernesto Jiménez-Ruiz, Ahmet Soylu, Evgeny Kharlamov
Pubblicato in: SemIIM 2022 Workshop, 2022
Editore: SemIIM 2022 Workshop

Scaling ML Analytics with Knowledge Graphs: A Bosch Welding Case

Autori: Baifan Zhou, Dongzhuoran Zhou, Jieying Chen, Yulia Svetachova, Gong Cheng, Evgeny Kharlamov
Pubblicato in: IJCKG'21: The 10th International Joint Conference on Knowledge Graphs, 2021, ISBN 978-1-4503-9565-6
Editore: Association for Computing Machinery New York NY United States
DOI: 10.5281/zenodo.6797515

Enhancing Knowledge Graph Generation with Ontology Reshaping – Bosch Case

Autori: Dongzhuoran Zhou, Baifan Zhou, Zhuoxun Zheng, Egor V. Kostylev2, Gong Cheng, Ernesto Jiménez-Ruiz, Ahmet Soylu, Evgeny Kharlamov
Pubblicato in: SemIIM 2022 Workshop, 2022
Editore: SemIIM 2022 Workshop

Towards Ontology Reshaping for KG Generation with User-in-the-Loop: Applied to Bosch Welding

Autori: Dongzhuoran Zhou, Baifan Zhou, Jieying Chen, Gong Cheng, Egor V. Kostylev, Evgeny Kharlamov
Pubblicato in: 2021
Editore: Zenodo
DOI: 10.5281/zenodo.6802584

Knowledge Graph-Based Semantic System for Visual Analytics in Automatic Manufacturing

Autori: Baifan Zhou, Zhuoxun Zheng, Dongzhuoran Zhou, Zhipeng Tan, Ognjen Savković, Hui Yang, Yujia Zhang, Evgeny Kharlamov
Pubblicato in: 2022
Editore: CEUR Workshop Proceedings

Towards Ontology Reshaping for KG Generation with User-in-the-Loop: Applied to Bosch Welding

Autori: Dongzhuoran Zhou, Baifan Zhou, Jieying Chen, Gong Cheng, Egor Kostylev, Evgeny Kharlamov
Pubblicato in: Proceedings of the 10th International Joint Conference on Knowledge Graphs, 2024, Pagina/e 145-150
Editore: ACM
DOI: 10.1145/3502223.3502243

Towards Generalized Welding Ontology in line with ISO and Knowledge Graph Construction

Autori: Muhammad Yahya, Baifan Zhou, Zhuoxun Zheng, Dongzhuoran Zhou, John G. Breslin, Muhammad Intizar Ali, Evgeny Kharlamov
Pubblicato in: SemIIM 2022 Workshop, 2022
Editore: SemIIM 2022 Workshop

Towards a Visualisation Ontology for Machine Learning Analysis in Industrial Applications

Autori: Zhuoxun Zheng, Baifan Zhou, Ahmet Soylu, Evgeny Kharlamov
Pubblicato in: 2023
Editore: SemIM

ExeKG: Executable Knowledge Graph System for User-friendly Data Analytics

Autori: Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou, Ahmet Soylu, Evgeny Kharlamov
Pubblicato in: Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2023, Pagina/e 5064-5068
Editore: ACM
DOI: 10.1145/3511808.3557195

ACORDAR: A Test Collection for Ad Hoc Content-Based (RDF) Dataset Retrieval

Autori: Tengteng Lin, Qiaosheng Chen, Gong Cheng, Ahmet Soylu, Basil Ell, Ruoqi Zhao, Qing Shi, Xiaxia Wang, Yu Gu, Evgeny Kharlamov
Pubblicato in: SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022, ISBN 9781450387323
Editore: Association for Computing Machinery New York, NY, USA
DOI: 10.1145/3477495.3531729

XAIR research data and epistemic metadata for molecular methods

Autori: Martin Thomas Horsch
Pubblicato in: Numero 22, 2023
Editore: Zenodo
DOI: 10.5281/zenodo.8318492

Executable Knowledge Graph for Transparent Machine Learning in Welding Monitoring at Bosch

The Data Value Quest: A Holistic Semantic Approach at Bosch

Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring: A Bosch Case

Autori: Zhipeng Tan, Baifan Zhou, Zhuoxun Zheng, Ognjen Savkovic, Ziqi Huang, Irlan-Grangel Gonzalez, Ahmet Soylu, Evgeny Kharlamov
Pubblicato in: Lecture Notes in Computer Science, The Semantic Web – ISWC 2023, 2023, Pagina/e 453-471
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-47243-5_25

Executable Knowledge Graphs for Machine Learning: A Bosch Case of Welding Monitoring

Autori: Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou, Xianda Zheng, Gong Cheng, Ahmet Soylu, Evgeny Kharlamov
Pubblicato in: Lecture Notes in Computer Science, The Semantic Web – ISWC 2022, 2023, Pagina/e 791-809
Editore: Springer International Publishing
DOI: 10.1007/978-3-031-19433-7_45

Query-Based Industrial Analytics over Knowledge Graphs with Ontology Reshaping

Autori: Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou, Gong Cheng, Ernesto Jiménez-Ruiz, Ahmet Soylu, Evgeny Kharlamov
Pubblicato in: Lecture Notes in Computer Science, The Semantic Web: ESWC 2022 Satellite Events, 2022, Pagina/e 123-128
Editore: Springer International Publishing
DOI: 10.1007/978-3-031-11609-4_23

Enhancing Knowledge Graph Generation with Ontology Reshaping – Bosch Case

Autori: Dongzhuoran Zhou, Baifan Zhou, Zhuoxun Zheng, Egor V. Kostylev, Gong Cheng, Ernesto Jiménez-Ruiz, Ahmet Soylu, Evgeny Kharlamov
Pubblicato in: Lecture Notes in Computer Science, The Semantic Web: ESWC 2022 Satellite Events, 2022, Pagina/e 299-302
Editore: Springer International Publishing
DOI: 10.1007/978-3-031-11609-4_45

Scaling Data Science Solutions with Semantics and Machine Learning: Bosch Case

Autori: Baifan Zhou, Nikolay Nikolov, Zhuoxun Zheng, Xianghui Luo, Ognjen Savkovic, Dumitru Roman, Ahmet Soylu, Evgeny Kharlamov
Pubblicato in: Lecture Notes in Computer Science, The Semantic Web – ISWC 2023, 2023, Pagina/e 380-399
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-47243-5_21

Ontology Reshaping for Knowledge Graph Construction: Applied on Bosch Welding Case

Autori: Dongzhuoran Zhou, Baifan Zhou, Zhuoxun Zheng, Ahmet Soylu, Gong Cheng, Ernesto Jimenez-Ruiz, Egor V. Kostylev, Evgeny Kharlamov
Pubblicato in: Lecture Notes in Computer Science, The Semantic Web – ISWC 2022, 2024, Pagina/e 770-790
Editore: Springer International Publishing
DOI: 10.1007/978-3-031-19433-7_44

ExeKGLib: Knowledge Graphs-Empowered Machine Learning Analytics

Autori: Antonis Klironomos, Baifan Zhou, Zhipeng Tan, Zhuoxun Zheng, Gad-Elrab Mohamed, Heiko Paulheim, Evgeny Kharlamov
Pubblicato in: Lecture Notes in Computer Science, The Semantic Web: ESWC 2023 Satellite Events, 2023, Pagina/e 123-127
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-43458-7_23

Epistemic Metadata for Computational Engineering Information Systems

Autori: Martin Thomas Horsch, Silvia Chiacchiera, Gabriela Guevara Carrión, Maximilian Kohns, Erich A. Müller, Denis Šarić, Simon Stephan, Ilian T. Todorov, Jadran Vrabec, Björn Schembera
Pubblicato in: Frontiers in Artificial Intelligence and Applications, Formal Ontology in Information Systems, 2023
Editore: IOS Press
DOI: 10.3233/faia231136

The Data Value Quest: A Holistic Semantic Approach at Bosch

Autori: Baifan Zhou, Zhuoxun Zheng, Dongzhuoran Zhou, Gong Cheng, Ernesto Jiménez-Ruiz, Trung-Kien Tran, Daria Stepanova, Mohamed H. Gad-Elrab, Nikolay Nikolov, Ahmet Soylu, Evgeny Kharlamov
Pubblicato in: Lecture Notes in Computer Science, The Semantic Web: ESWC 2022 Satellite Events, 2022, Pagina/e 287-290
Editore: Springer International Publishing
DOI: 10.1007/978-3-031-11609-4_42

Influence of oxygen on electronic correlation and transport in iron in the Earth’s outer core

Autori: Germán G. Blesio, Leonid V. Pourovskii, Markus Aichhorn, Monica Pozzo, Dario Alfè, Jernej Mravlje
Pubblicato in: Communications Earth & Environment, Numero 6, 2025, ISSN 2662-4435
Editore: Nature
DOI: 10.1038/s43247-024-01947-x

Data-Driven, Physics-Based, or Both: Fatigue Prediction of Structural Adhesive Joints by Artificial Intelligence

Autori: Pedro Henrique Evangelista Fernandes, Giovanni Corsetti Silva, Diogo Berta Pitz, Matteo Schnelle, Katharina Koschek, Christof Nagel, Vinicius Carrillo Beber
Pubblicato in: Applied Mechanics, Numero 4, 2025, Pagina/e 334-355, ISSN 2673-3161
Editore: MDPI
DOI: 10.3390/applmech4010019

The formation and evolution of the Earth’s inner core

Autori: Alfred J. Wilson, Christopher J. Davies, Andrew M. Walker, Monica Pozzo, Dario Alfè, Arwen Deuss
Pubblicato in: Nature Reviews Earth & Environment, Numero 6, 2025, Pagina/e 140-154, ISSN 2662-138X
Editore: Uiniversity of leeds
DOI: 10.1038/s43017-024-00639-6

The conundrum in smart city governance: Interoperability and compatibility in an ever-growing ecosystem of digital twins

Autori: Hou Yee Quek, Franziska Sielker, Jethro Akroyd, Amit N Bhave, Aurel von Richthofen, Pieter Herthogs, Claudia van der Laag Yamu, Li Wan, Timea Nochta, Gemma Burgess, Mei Qi Lim, Sebastian Mosbach, Markus Kraft
Pubblicato in: Data & Policy, Numero 5, 2023, ISSN 2632-3249
Editore: Cambridge University
DOI: 10.1017/dap.2023.1

Universal Digital Twin - A Dynamic Knowledge Graph

Autori: Jethro Akroyd; Sebastian Mosbach; Amit Bhave; Markus Kraft
Pubblicato in: Data-Centric Engineering, Numero 06 September 2021, 2021, ISSN 2632-6736
Editore: Cambridge University Press (CUP)
DOI: 10.17863/cam.75218

Knowledge graph embedding closed under composition

Autori: Zhuoxun Zheng, Baifan Zhou, Hui Yang, Zhipeng Tan, Zequn Sun, Chunnong Li, Arild Waaler, Evgeny Kharlamov, Ahmet Soylu
Pubblicato in: Data Mining and Knowledge Discovery, Numero 38, 2024, Pagina/e 3531-3562, ISSN 1384-5810
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10618-024-01050-x

Semantic agent framework for automated flood assessment using dynamic knowledge graphs

Autori: Markus Hofmeister, Jiaru Bai, George Brownbridge, Sebastian Mosbach, Kok F. Lee, Feroz Farazi, Michael Hillman, Mehal Agarwal, Srishti Ganguly, Jethro Akroyd, Markus Kraft
Pubblicato in: Data-Centric Engineering, Numero 5, 2024, ISSN 2632-6736
Editore: Cambridge University Press
DOI: 10.1017/dce.2024.11

Evolving requirements for materials modelling software and underlying method developments: an inventory and future outlook

Autori: Ilian Todorov
Pubblicato in: Open Research Europe, Numero 2, 2022, Pagina/e 86, ISSN 2732-5121
Editore: Open Research Europe
DOI: 10.12688/openreseurope.14843.2

Machine learning with domain knowledge for predictive quality monitoring in resistance spot welding

Autori: Baifan Zhou, Tim Pychynski, Markus Reischl, Evgeny Kharlamov, Ralf Mikut
Pubblicato in: Journal of Intelligent Manufacturing, Numero 33, 2022, Pagina/e 1139-1163, ISSN 0956-5515
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10845-021-01892-y

Semantic Modeling, Development and Evaluation for the Resistance Spot Welding Industry

Autori: Muhammad Yahya, Baifan Zhou, John G. Breslin, Muhammad Intizar Ali, Evgeny Kharlamov
Pubblicato in: IEEE Access, Numero 11, 2023, Pagina/e 37360-37377, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2023.3267000

Dynamic knowledge graph applications for augmented built environments through “The World Avatar”

Autori: Hou Yee Quek, Markus Hofmeister, Simon D. Rihm, Jingya Yan, Jiawei Lai, George Brownbridge, Michael Hillman, Sebastian Mosbach, Wilson Ang, Yi-Kai Tsai, Dan N. Tran, Soon Kang, William Tan, Markus Kraft
Pubblicato in: Journal of Building Engineering, Numero 91, 2025, Pagina/e 109507, ISSN 2352-7102
Editore: ELSEVIER
DOI: 10.1016/j.jobe.2024.109507

Open Innovation Environments and their Importance in Materials Modelling and Materials Characterisation

Autori: Goldbeck, Gerhard; Simperler, A;exandra; Boskovic, Bojan; Aleksic, Jelena
Pubblicato in: Numero 25, 2022
Editore: Zenodo
DOI: 10.5281/zenodo.6363435

OntoCommons D2.2 - TLOMLO Landscape Analysis Report

Autori: Laura Ann Slaughter; Jens Otten
Pubblicato in: Numero 25, 2022
Editore: Zenodo
DOI: 10.5281/zenodo.6504439

The Translator in Knowledge Management for Innovation – towards Industry Commons

Autori: Goldbeck, Gerhard; Simperler, Alexandra; Bull, Lucy; Gao, David; Ghedini, Emanuele; Karray, Mohamedhedi; Kharlamov, Evgeny; Kiritsis, Dimitrios; Lomax, Jane; Matentzoglu, Nicolas; Noeske, Michael; Piroi, Florina; Sarka, Arkopaul; Vladislavleva, Katya; Waaler, Arild
Pubblicato in: Numero 23, 2022
Editore: Zenodo
DOI: 10.5281/zenodo.7041696

Epistemic metadata in molecular modelling: Second-stage case-study report (12 claims)

Autori: Horsch, Martin Thomas; Chiacchiera, Silvia; Guevara Carrión, Gabriela; Kohns, Maximilian; Müller, Erich A.; Šarić, Denis; Stephan, Simon; Todorov, Ilian T.; Vrabec, Jadran; Schembera, Björn
Pubblicato in: Numero 22, 2023
Editore: Zenodo
DOI: 10.5281/zenodo.7608074

Semantic data exchange ontology

Autori: Ghedini, Emanuele; Hashibon, Adham; Friis, Jesper
Pubblicato in: Numero 22, 2022
Editore: Zenodo
DOI: 10.5281/zenodo.7784933

Epistemic metadata in molecular modelling: First-stage case-study report (10 cases)

Autori: Horsch, Martin Thomas; Schembera, Björn
Pubblicato in: Numero 22, 2023
Editore: Zenodo
DOI: 10.5281/zenodo.7516532

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