Conceptualizing Digital Twins

Romina Eramo; Francis Bordeleau; Benoit Combemale; Mark van den Brand; Manuel Wimmer; Andreas Wortmann

doi:10.1109/MS.2021.3130755

Conceptualizing Digital Twins

Romina Eramo
, Francis Bordeleau
, Benoit Combemale
, Mark van den Brand
, Manuel Wimmer
, Andreas Wortmann

University of L'Aquila
Université de Rennes
Eindhoven University of Technology
Johannes Kepler University Linz
University of Stuttgart

Research output: Contribution to journal › Journal Article › peer-review

105 Citations (Scopus)

Abstract

Properly arranging models, data sources, and their relations to engineer digital twins is challenging. We propose a conceptual modeling framework for digital twins that captures the combined usage of heterogeneous models and their respective evolving data for the twinâs entire lifecycle.

Original language	English
Pages (from-to)	39-46
Number of pages	8
Journal	IEEE Software
Volume	39
Issue number	2
DOIs	https://doi.org/10.1109/MS.2021.3130755
Publication status	Published - 2022

!!!Keywords

Conceptual Modeling Framework
Digital Twin
Model Types

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10.1109/MS.2021.3130755

Cite this

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title = "Conceptualizing Digital Twins",

abstract = "Properly arranging models, data sources, and their relations to engineer digital twins is challenging. We propose a conceptual modeling framework for digital twins that captures the combined usage of heterogeneous models and their respective evolving data for the twin{\^a}s entire lifecycle.",

keywords = "Conceptual Modeling Framework, Digital Twin, Model Types",

author = "Romina Eramo and Francis Bordeleau and Benoit Combemale and Brand, \{Mark van den\} and Manuel Wimmer and Andreas Wortmann",

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year = "2022",

doi = "10.1109/MS.2021.3130755",

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T1 - Conceptualizing Digital Twins

AU - Eramo, Romina

AU - Bordeleau, Francis

AU - Combemale, Benoit

AU - Brand, Mark van den

AU - Wimmer, Manuel

AU - Wortmann, Andreas

PY - 2022

Y1 - 2022

N2 - Properly arranging models, data sources, and their relations to engineer digital twins is challenging. We propose a conceptual modeling framework for digital twins that captures the combined usage of heterogeneous models and their respective evolving data for the twinâs entire lifecycle.

AB - Properly arranging models, data sources, and their relations to engineer digital twins is challenging. We propose a conceptual modeling framework for digital twins that captures the combined usage of heterogeneous models and their respective evolving data for the twinâs entire lifecycle.

KW - Conceptual Modeling Framework

KW - Digital Twin

KW - Model Types

UR - https://www.scopus.com/pages/publications/85120045327

U2 - 10.1109/MS.2021.3130755

DO - 10.1109/MS.2021.3130755

M3 - Journal Article

AN - SCOPUS:85120045327

SN - 0740-7459

VL - 39

SP - 39

EP - 46

JO - IEEE Software

JF - IEEE Software

IS - 2

ER -

Conceptualizing Digital Twins

Abstract

!!!Keywords

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