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Automatically linking concepts in distributed, cloud-based manufacturing environments

  • With the digitalisation, and the increased connectivity between manufacturing systems emerging in this context, manufacturing is shifting towards decentralised, distributed concepts. Still, for manufacturing scenarios manual input or augmentation of data is required at system boundaries. Especially in distributed manufacturing environments, like Cloud Manufacturing (CMfg) systems, constant changes to the available manufacturing resources and products pose challenges for establishing connections between them. We propose a feature-oriented representation of concepts, especially from the manufacturing domain, which serves as the basis for (semi-) automatically linking, e.g., manufacturing resources and products. This linking methodologies, as well as knowledge inferred using it, is then used to support distributed manufacturing, especially in CMfg environments, and enhance product development. The concepts and methodologies are to be evaluated in a real world learning factory.

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Metadaten
Author:Damian DrexelORCiD
URN:urn:nbn:de:0074-2956-7
ISSN:1613-0073
Parent Title (English):Proceedings of the 15th International Rule Challenge, 7th Industry Track, and 5th Doctoral Consortium @RuleML+RR 2021. Leuven, Belgium (virtual due to Covid-19 pandemic), 8-15 September, 2021
Publication Series:CEUR Workshop Proceedings, Volume 2956
Publisher:RWTH Aachen
Place of publication:Aachen
Editor:Ahmet Soylu, Alireza Tamaddoni Nezhad, Nikolay Nikolov, Ioan Toma, Anna Fensel, Joost Vennekens
Document Type:Conference Proceeding
Language:English
Year of publication:2021
Release Date:2021/10/05
Tag:Cloud manufacturing; Distributed manufacturing; Manufacturing; Ontologies; Reasoning
Number of pages:7
Organisationseinheit:Forschung / Forschungszentrum Digital Factory Vorarlberg
DDC classes:000 Allgemeines, Informatik, Informationswissenschaft
Open Access?:ja
Peer review:wiss. Beitrag, peer-reviewed
Publicationlist:Drexel, Damian
Licence (German):License LogoCreative Commons - CC BY - International - Attribution- Namensnennung 4.0