Towards Ontological Service-Driven Engineering of Digital Twins

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 openCAESAR for ontology definition and enacting the workflows with Jupyter notebooks.

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Publication Details

Published
2024-09-22
DOI
https://doi.org/10.1145/3652620.3688261
Citations
4
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
1.40

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article

Towards Ontological Service-Driven Engineering of Digital Twins

Eduard Kamburjan, Cláudio Gomes, Bentley James Oakes, Giuseppe Abbiati et al.
4 citations
Digital Transformation in Industry
1.40
article

Towards Ontological Service-Driven Engineering of Digital Twins

Eduard Kamburjan, Cláudio Gomes, Bentley James Oakes, Giuseppe Abbiati, Elif Ecem Bas, Sebastian Engelsgaard
article en
4 citations

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 openCAESAR for ontology definition and enacting the workflows with Jupyter notebooks.

University of Oslo (NO), Aarhus University (DK), Aarhus School of Architecture (DK), Polytechnique Montréal (CA)
Energiteknologisk udviklings- og demonstrationsprogram
Openalex Percentile: Top 16%
Digital Transformation in Industry
1.40
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