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Towards Ontological Service-Driven Engineering of Digital Twins

  • Bentley Oakes
    ,
  • Cláudio Gomes
    ,
  • ,
  • Giuseppe Abbiati
    ,
  • Elif Ecem Bas
    ,
  • Sebastian Engelsgaard
  • Polytechnique Montréal
    ,
  • Aarhus University
    ,
  • University of Oslo
    ,
  • R&D Test Systems
    ,
  • Fonden Lindoe Offshore Renewables Center
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Open access

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 464-469 (6 pages)

Publication milestones

  • Published - 31/10/2024

Publication status

Published - 31/10/2024

Publisher

Association for Computing Machinery, United States

Publication IDs

  • Scopus: 85212198557

Host publication title

Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems

Abstract

The systematic engineering of Digital Twins (DTs) requires the establishment of clear methodologies supported by intelligent tooling. We propose an approach to guide the user in the creation and deployment of services for DTs utilizing ontologies and workflows. In our approach, the user selects a desired DT service from an array of options. This selection is then used to suggest a) enablers and models to place in the DT, and b) development and deployment workflows for the DT service. The aim is to provide DT engineering guidance to assist non-software engineering experts to develop DT services more rapidly with less effort. We describe our initial work on applying this approach to a derived version of an industrial wind turbine generator case study, utilizing open CAESAR for ontology definition and enacting the workflows with Jupyter notebooks.

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Citations
11
Captures
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Related Event

Title

International Conference on Model Driven Engineering Languages and Systems

Event type

Conference

Degree of recognition

International event

Date

22/09/2024 - 27/09/2024

Location

LinzAustria