European Commission logo
italiano italiano
CORDIS - Risultati della ricerca dell’UE
CORDIS

Big Data Value Spaces for COmpetitiveness of European COnnected Smart FacTories 4.0

Risultati finali

Risk Management Plan v3

Continuous risk assessment document v3

BOOST 4.0 standardization & certification v1

I4.0 standards and certification

Annual communication plan and actions v3
Annual demonstration plan and actions v1
BOOST 4.0 Reference Architecture Specification v1

Big data framework

Interim Progress Report V1

Documents of project progress towards

Pilot-scale Planning and Coordination

Description of the Pilots at M24 for Public Dissemination

Industrial Data Space v3

Trusted BOOST 4.0 data connectors and collaborative big data infrastructure (edge, hybrid cloud, HPC, iSpace) and data service marketplace. A report/manual will be also provided to document the prototype delivered.

Pilots description, adaptations and execution plans v2

Pilots joint approach

Interim Progress Report v2

Documents of project progress towards EC

BOOST 4.0 standardization & certification v2

I4.0 standards and certification

Annual communication plan and actions v1
Annual demonstration plan and actions v2
Final Pilot-Scale Planning

Final description of the pilots for public dissemination

Annual communication plan and actions v4
BOOST 4.0 Reference Architecture Specification v2

Big data framework

Risk Management Plan v2

Continuous risk assessment document v2

Pilot Requirements and Use Cases Specification v2

Functional and non-functional requirements

Pilots description, adaptations and execution plans v1

Pilots joint approach

Annual communication plan and actions v2
Risk Management Plan v1

Continuous risk assessment document v1

Pilot Requirements and Use Cases Specification v1

Functional and non-functional requirements

Project management plan and fact sheet

Project governance and operations

Industrial Data Space v1

Trusted BOOST 4.0 data connectors and collaborative big data infrastructure (edge, hybrid cloud, HPC, iSpace) and data service marketplace. A report/manual will be also provided to document the prototype delivered.

Big Data Models and Analytics Platform v2

Predictive and prescriptive models and extensions of digital manufacturing platforms for BOOST 4.0 IDS support. A report/manual will be also provided to document the prototype delivered.

Industrial Data Space v2

Trusted BOOST 4.0 data connectors and collaborative big data infrastructure (edge, hybrid cloud, HPC, iSpace) and data service marketplace. A report/manual will be also provided to document the prototype delivered.

Big Data Models and Analytics Platform v1

Predictive and prescriptive models and extensions of digital manufacturing platforms for BOOST 4.0 IDS support. A report/manual will be also provided to document the prototype delivered.

Pubblicazioni

A Knowledge Graph for Industry 4.0

Autori: Sebastian R. Bader, Irlan Grangel-Gonzalez, Priyanka Nanjappa, Maria-Esther Vidal, Maria Maleshkova
Pubblicato in: The Semantic Web - 17th International Conference, ESWC 2020, Heraklion, Crete, Greece, May 31–June 4, 2020, Proceedings, Numero 12123, 2020, Pagina/e 465-480, ISBN 978-3-030-49460-5
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-49461-2_27

A Scalable Framework for Quality Assessment of RDF Datasets

Autori: Gezim Sejdiu, Anisa Rula, Jens Lehmann, Hajira Jabeen
Pubblicato in: The Semantic Web – ISWC 2019 - 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part II, Numero 11779, 2019, Pagina/e 261-276, ISBN 978-3-030-30795-0
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-30796-7_17

The International Data Spaces Information Model – An Ontology for Sovereign Exchange of Digital Content

Autori: Sebastian Bader, Jaroslav Pullmann, Christian Mader, Sebastian Tramp, Christoph Quix, Andreas W. Müller, Haydar Akyürek, Matthias Böckmann, Benedikt T. Imbusch, Johannes Lipp, Sandra Geisler, Christoph Lange
Pubblicato in: The Semantic Web – ISWC 2020 - 19th International Semantic Web Conference, Athens, Greece, November 2–6, 2020, Proceedings, Part II, Numero 12507, 2020, Pagina/e 176-192, ISBN 978-3-030-62465-1
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-62466-8_12

Detecting Anomalous Behavior Towards Predictive Maintenance

Autori: Athanasios Naskos, Anastasios Gounaris, Ifigeneia Metaxa, Daniel Köchling
Pubblicato in: Advanced Information Systems Engineering Workshops - CAiSE 2019 International Workshops, Rome, Italy, June 3-7, 2019, Proceedings, Numero 349, 2019, Pagina/e 73-82, ISBN 978-3-030-20947-6
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-20948-3_7

A Hybrid Machine Learning Approach for Predictive Maintenance in Smart Factories of the Future

Autori: Sangje Cho, Gökan May, Ioannis Tourkogiorgis, Roberto Perez, Oscar Lazaro, Borja de la Maza, Dimitris Kiritsis
Pubblicato in: Advances in Production Management Systems. Smart Manufacturing for Industry 4.0 - IFIP WG 5.7 International Conference, APMS 2018, Seoul, Korea, August 26-30, 2018, Proceedings, Part II, Numero 536, 2018, Pagina/e 311-317, ISBN 978-3-319-99706-3
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-99707-0_39

Enriching Smart Contracts with Temporal Aspects

Autori: Fabiana Fournier, Inna Skarbovsky
Pubblicato in: Blockchain – ICBC 2019 - Second International Conference, Held as Part of the Services Conference Federation, SCF 2019, San Diego, CA, USA, June 25–30, 2019, Proceedings, Numero 11521, 2019, Pagina/e 126-141, ISBN 978-3-030-23403-4
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-23404-1_9

Towards a Scalable Semantic-Based Distributed Approach for SPARQL Query Evaluation

Autori: Gezim Sejdiu, Damien Graux, Imran Khan, Ioanna Lytra, Hajira Jabeen, Jens Lehmann
Pubblicato in: Semantic Systems. The Power of AI and Knowledge Graphs - 15th International Conference, SEMANTiCS 2019, Karlsruhe, Germany, September 9–12, 2019, Proceedings, Numero 11702, 2019, Pagina/e 295-309, ISBN 978-3-030-33219-8
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-33220-4_22

Predictive Maintenance for Injection Molding Machines Enabled by Cognitive Analytics for Industry 4.0

Autori: Vaia Rousopoulou, Alexandros Nizamis, Thanasis Vafeiadis, Dimosthenis Ioannidis, Dimitrios Tzovaras
Pubblicato in: Frontiers in Artificial Intelligence, Numero 3, 2020, ISSN 2624-8212
Editore: Frontiers
DOI: 10.3389/frai.2020.578152

Towards the behavior analysis of chemical reactors utilizing data-driven trend analysis and machine learning techniques

Autori: E. Lithoxoidou, C. Ziogou, T. Vafeiadis, S. Krinidis, D. Ioannidis, S. Voutetakis, D. Tzovaras
Pubblicato in: Applied Soft Computing, Numero 94, 2020, Pagina/e 106464, ISSN 1568-4946
Editore: Elsevier BV
DOI: 10.1016/j.asoc.2020.106464

Mapping RDF Databases to Property Graph Databases

Autori: Renzo Angles, Harsh Thakkar, Dominik Tomaszuk
Pubblicato in: IEEE Access, Numero 8, 2020, Pagina/e 86091-86110, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2020.2993117

A DIN Spec 91345 RAMI 4.0 Compliant Data Pipelining Model: An Approach to Support Data Understanding and Data Acquisition in Smart Manufacturing Environments

Autori: Kevin Nagorny, Sebastian Scholze, Armando Walter Colombo, Jose Barata Oliveira
Pubblicato in: IEEE Access, Numero 8, 2020, Pagina/e 223114-223129, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2020.3045111

SOLIOT—Decentralized Data Control and Interactions for IoT

Autori: Sebastian R. Bader, Maria Maleshkova
Pubblicato in: Future Internet, Numero 12/6, 2020, Pagina/e 105, ISSN 1999-5903
Editore: MDPI
DOI: 10.3390/fi12060105

Implementation and Transfer of Predictive Analytics for Smart Maintenance: A Case Study

Autori: Sebastian von Enzberg, Athanasios Naskos, Ifigeneia Metaxa, Daniel Köchling, Arno Kühn
Pubblicato in: Frontiers in Computer Science, Numero 2, 2020, ISSN 2624-9898
Editore: Frontiers
DOI: 10.3389/fcomp.2020.578469

Semantic MBD for metrology: approach and benefits

Autori: Deniz Ozturk, Daniel Campbell, Jimmy Nguyen
Pubblicato in: Newsletter, Numero Year 17 nr 2, 2020, Pagina/e 46-51
Editore: EnginSoft

Blockchain technology in IDS

Autori: Matthijs Punter (TNO), Fabiana Fournier (IBM) ,Inna Skarbovski (IBM)
Pubblicato in: 2020
Editore: International Dataspaces Association

A Digital Twin for Intra-Logistics Process Planning for the Automotive Sector Supported by Big Data Analytics

Autori: Guilherme Guerreiro, Paulo Figueiras, Ruben Costa, Maria Marques, Diogo Graça, Gisela Garcia, Ricardo Jardim-Gonçalves
Pubblicato in: Volume 2B: Advanced Manufacturing, 2019, ISBN 978-0-7918-5938-4
Editore: American Society of Mechanical Engineers
DOI: 10.1115/imece2019-11362

Metadata management in a big data infrastructure.

Autori: Roxana-Maria Holom, Katharina Rafetseder, Stefanie Kritzinger, Harald Sehrschön
Pubblicato in: 2020
Editore: Elsevier Procedia Manufacturing

Querying Lafrge-scale RDF Datasets Using the SANSA Framework

Autori: Stadler, Claus; Sejdiu, Gezim; Graux, Damian; Lehmann, Jens;
Pubblicato in: ISWC, 2019
Editore: Zenodo
DOI: 10.5281/zenodo.3567885

Efficiency assessment of event-based predictive maintenance in Industry 4.0

Autori: Athansios Naskos ,Anastasios Gounaris
Pubblicato in: 2019
Editore: ICDM

A Self-Adapted Swarm Architecture to Handle Big Data for “Factories of the Future”

Autori: Guilherme Guerreiro, Ruben Costa, Paulo Figueiras, Diogo Graça, Ricardo Jardim-Gonçalves
Pubblicato in: IFAC-PapersOnLine, Numero 52/13, 2019, Pagina/e 916-921, ISSN 2405-8963
Editore: IFAC
DOI: 10.1016/j.ifacol.2019.11.356

Metadata management in a big data infrastructure

Autori: Roxana-Maria Holom, Katharina Rafetseder, Stefanie Kritzinger, Harald Sehrschön
Pubblicato in: Procedia Manufacturing, Numero 42, 2020, Pagina/e 375-382, ISSN 2351-9789
Editore: Elsevier BV
DOI: 10.1016/j.promfg.2020.02.060

IDSA Rule Book

Autori: Sebastian Steinbuss et al
Pubblicato in: 2021
Editore: International Data Spaces Association

IDSA Reference Architecture Model

Autori: Dr.-Ing. Boris Otto, Sebastian Steinbuss, Andreas Teuscher, Dr.-Ing Steffen Lohmann
Pubblicato in: 2019
Editore: International Data Spaces Association

Evaluation and comparison of open standards for digital twin in Industry 4.0

Autori: Antero Vaarnamo
Pubblicato in: 2021
Editore: Aalto University

Software toolkits for prototyping autonomous mobile robots -Ohjelmistoympäristöt itsenäisten mobiilirobottien testaamiseen

Autori: Haapajärvi, Teo
Pubblicato in: 2020
Editore: Aalto University

È in corso la ricerca di dati su OpenAIRE...

Si è verificato un errore durante la ricerca dei dati su OpenAIRE

Nessun risultato disponibile