Conceptualizing Digital Twins

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’s entire lifecycle.

Saved in:
Bibliographic Details
Published in:IEEE software 2022-03, Vol.39 (2), p.39-46
Main Authors: Eramo, Romina, Bordeleau, Francis, Combemale, Benoit, Brand, Mark van den, Wimmer, Manuel, Wortmann, Andreas
Format: Article
Language:English
Subjects:
Adaptation models
Analytical models
Biological system modeling
Computer Science
Conceptual Modeling Framework
Data models
Digital twin
Digital twins
Model Types
Predictive models
Software Engineering
Unified modeling language
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c364t-ca8a96992dfdfe24a627c649801dec3fb1be9c80bfa8eb47fb757070a1581e8f3
cites cdi_FETCH-LOGICAL-c364t-ca8a96992dfdfe24a627c649801dec3fb1be9c80bfa8eb47fb757070a1581e8f3
container_end_page 46
container_issue 2
container_start_page 39
container_title IEEE software
container_volume 39
creator Eramo, Romina
Bordeleau, Francis
Combemale, Benoit
Brand, Mark van den
Wimmer, Manuel
Wortmann, Andreas
description 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’s entire lifecycle.
doi_str_mv 10.1109/MS.2021.3130755
format article
fullrecord <record><control><sourceid>proquest_ieee_</sourceid><recordid>TN_cdi_ieee_primary_9626349</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9626349</ieee_id><sourcerecordid>2629133581</sourcerecordid><originalsourceid>FETCH-LOGICAL-c364t-ca8a96992dfdfe24a627c649801dec3fb1be9c80bfa8eb47fb757070a1581e8f3</originalsourceid><addsrcrecordid>eNo9kMFLwzAUxoMoOKdnDyIMPHno9l6SJs1xbOqEDQ-b55Bmycyo7Ww6Rf96Ozp2evDx-348PkJuEYaIoEaL5ZACxSFDBjJNz0gPFZMJR8XPSQ8kh0TyVF2Sqxi3AJC2XI_cT6rSul2zN0X4C-VmMA2b0JhisPoJZbwmF94U0d0cb5-8Pz-tJrNk_vbyOhnPE8sEbxJrMqOEUnTt195RbgSVVnCVAa6dZT7H3CmbQe5N5nIufS5TCRIMphm6zLM-eey8H6bQuzp8mvpXVybo2XiuDxkwLgRT4htb9qFjd3X1tXex0dtqX5fte5oKqpCxVtpSo46ydRVj7fxJi6APe-nFUh_20se92sZd1wjOuROtBBWMK_YPjIpj4Q</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2629133581</pqid></control><display><type>article</type><title>Conceptualizing Digital Twins</title><source>IEEE Electronic Library (IEL) Journals</source><creator>Eramo, Romina ; Bordeleau, Francis ; Combemale, Benoit ; Brand, Mark van den ; Wimmer, Manuel ; Wortmann, Andreas</creator><creatorcontrib>Eramo, Romina ; Bordeleau, Francis ; Combemale, Benoit ; Brand, Mark van den ; Wimmer, Manuel ; Wortmann, Andreas</creatorcontrib><description>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’s entire lifecycle.</description><identifier>ISSN: 0740-7459</identifier><identifier>EISSN: 1937-4194</identifier><identifier>DOI: 10.1109/MS.2021.3130755</identifier><identifier>CODEN: IESOEG</identifier><language>eng</language><publisher>Los Alamitos: IEEE</publisher><subject>Adaptation models ; Analytical models ; Biological system modeling ; Computer Science ; Conceptual Modeling Framework ; Data models ; Digital twin ; Digital twins ; Model Types ; Predictive models ; Software Engineering ; Unified modeling language</subject><ispartof>IEEE software, 2022-03, Vol.39 (2), p.39-46</ispartof><rights>Copyright IEEE Computer Society 2022</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c364t-ca8a96992dfdfe24a627c649801dec3fb1be9c80bfa8eb47fb757070a1581e8f3</citedby><cites>FETCH-LOGICAL-c364t-ca8a96992dfdfe24a627c649801dec3fb1be9c80bfa8eb47fb757070a1581e8f3</cites><orcidid>0000-0002-7104-7848</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9626349$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>230,314,780,784,885,27924,27925,54796</link.rule.ids><backlink>$$Uhttps://inria.hal.science/hal-03466396$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Eramo, Romina</creatorcontrib><creatorcontrib>Bordeleau, Francis</creatorcontrib><creatorcontrib>Combemale, Benoit</creatorcontrib><creatorcontrib>Brand, Mark van den</creatorcontrib><creatorcontrib>Wimmer, Manuel</creatorcontrib><creatorcontrib>Wortmann, Andreas</creatorcontrib><title>Conceptualizing Digital Twins</title><title>IEEE software</title><addtitle>S-M</addtitle><description>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’s entire lifecycle.</description><subject>Adaptation models</subject><subject>Analytical models</subject><subject>Biological system modeling</subject><subject>Computer Science</subject><subject>Conceptual Modeling Framework</subject><subject>Data models</subject><subject>Digital twin</subject><subject>Digital twins</subject><subject>Model Types</subject><subject>Predictive models</subject><subject>Software Engineering</subject><subject>Unified modeling language</subject><issn>0740-7459</issn><issn>1937-4194</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNo9kMFLwzAUxoMoOKdnDyIMPHno9l6SJs1xbOqEDQ-b55Bmycyo7Ww6Rf96Ozp2evDx-348PkJuEYaIoEaL5ZACxSFDBjJNz0gPFZMJR8XPSQ8kh0TyVF2Sqxi3AJC2XI_cT6rSul2zN0X4C-VmMA2b0JhisPoJZbwmF94U0d0cb5-8Pz-tJrNk_vbyOhnPE8sEbxJrMqOEUnTt195RbgSVVnCVAa6dZT7H3CmbQe5N5nIufS5TCRIMphm6zLM-eey8H6bQuzp8mvpXVybo2XiuDxkwLgRT4htb9qFjd3X1tXex0dtqX5fte5oKqpCxVtpSo46ydRVj7fxJi6APe-nFUh_20se92sZd1wjOuROtBBWMK_YPjIpj4Q</recordid><startdate>20220301</startdate><enddate>20220301</enddate><creator>Eramo, Romina</creator><creator>Bordeleau, Francis</creator><creator>Combemale, Benoit</creator><creator>Brand, Mark van den</creator><creator>Wimmer, Manuel</creator><creator>Wortmann, Andreas</creator><general>IEEE</general><general>IEEE Computer Society</general><general>Institute of Electrical and Electronics Engineers</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>JQ2</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0002-7104-7848</orcidid></search><sort><creationdate>20220301</creationdate><title>Conceptualizing Digital Twins</title><author>Eramo, Romina ; Bordeleau, Francis ; Combemale, Benoit ; Brand, Mark van den ; Wimmer, Manuel ; Wortmann, Andreas</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c364t-ca8a96992dfdfe24a627c649801dec3fb1be9c80bfa8eb47fb757070a1581e8f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Adaptation models</topic><topic>Analytical models</topic><topic>Biological system modeling</topic><topic>Computer Science</topic><topic>Conceptual Modeling Framework</topic><topic>Data models</topic><topic>Digital twin</topic><topic>Digital twins</topic><topic>Model Types</topic><topic>Predictive models</topic><topic>Software Engineering</topic><topic>Unified modeling language</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Eramo, Romina</creatorcontrib><creatorcontrib>Bordeleau, Francis</creatorcontrib><creatorcontrib>Combemale, Benoit</creatorcontrib><creatorcontrib>Brand, Mark van den</creatorcontrib><creatorcontrib>Wimmer, Manuel</creatorcontrib><creatorcontrib>Wortmann, Andreas</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>ProQuest Computer Science Collection</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>IEEE software</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Eramo, Romina</au><au>Bordeleau, Francis</au><au>Combemale, Benoit</au><au>Brand, Mark van den</au><au>Wimmer, Manuel</au><au>Wortmann, Andreas</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Conceptualizing Digital Twins</atitle><jtitle>IEEE software</jtitle><stitle>S-M</stitle><date>2022-03-01</date><risdate>2022</risdate><volume>39</volume><issue>2</issue><spage>39</spage><epage>46</epage><pages>39-46</pages><issn>0740-7459</issn><eissn>1937-4194</eissn><coden>IESOEG</coden><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’s entire lifecycle.</abstract><cop>Los Alamitos</cop><pub>IEEE</pub><doi>10.1109/MS.2021.3130755</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-7104-7848</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0740-7459
ispartof IEEE software, 2022-03, Vol.39 (2), p.39-46
issn 0740-7459
1937-4194
language eng
recordid cdi_ieee_primary_9626349
source IEEE Electronic Library (IEL) Journals
subjects Adaptation models
Analytical models
Biological system modeling
Computer Science
Conceptual Modeling Framework
Data models
Digital twin
Digital twins
Model Types
Predictive models
Software Engineering
Unified modeling language
title Conceptualizing Digital Twins
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T21%3A33%3A01IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_ieee_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Conceptualizing%20Digital%20Twins&rft.jtitle=IEEE%20software&rft.au=Eramo,%20Romina&rft.date=2022-03-01&rft.volume=39&rft.issue=2&rft.spage=39&rft.epage=46&rft.pages=39-46&rft.issn=0740-7459&rft.eissn=1937-4194&rft.coden=IESOEG&rft_id=info:doi/10.1109/MS.2021.3130755&rft_dat=%3Cproquest_ieee_%3E2629133581%3C/proquest_ieee_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c364t-ca8a96992dfdfe24a627c649801dec3fb1be9c80bfa8eb47fb757070a1581e8f3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2629133581&rft_id=info:pmid/&rft_ieee_id=9626349&rfr_iscdi=true