Driving digital engineering integration and interoperability through semantic integration of models with ontologies
Engineered solutions are becoming more complex and multi‐disciplinary in nature. This evolution requires new techniques to enhance design and analysis tasks that incorporate data integration and interoperability across various engineering tool suites spanning multiple domains at different ion levels...
Gespeichert in:
| Veröffentlicht in: | Systems engineering 2023-07, Vol.26 (4), p.365-378 |
|---|---|
| Hauptverfasser: | , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 378 |
|---|---|
| container_issue | 4 |
| container_start_page | 365 |
| container_title | Systems engineering |
| container_volume | 26 |
| creator | Dunbar, Daniel Hagedorn, Thomas Blackburn, Mark Dzielski, John Hespelt, Steven Kruse, Benjamin Verma, Dinesh Yu, Zhongyuan |
| description | Engineered solutions are becoming more complex and multi‐disciplinary in nature. This evolution requires new techniques to enhance design and analysis tasks that incorporate data integration and interoperability across various engineering tool suites spanning multiple domains at different ion levels. Semantic web technologies (SWT) offer data integration and interoperability benefits as well as other opportunities to enhance reasoning across knowledge represented in multiple disparate models. This paper introduces the digital engineering framework for integration and interoperability (DEFII) for incorporating SWT into engineering design and analysis tasks. The framework includes three notional interfaces for interacting with ontology‐aligned data. It also introduces a novel model interface specification diagram (MISD) that provides a tool‐agnostic model representation enabled by SWT that exposes data stored for use by external users through standards‐based interfaces. Use of the framework results in a tool‐agnostic authoritative source of truth spanning the entire project, system, or mission. |
| doi_str_mv | 10.1002/sys.21662 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2831902070</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2831902070</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3322-6981757b5243a183a50dad308153a90529572074313f3d300f31dd2b712cb8523</originalsourceid><addsrcrecordid>eNp1kL1PwzAQxS0EEqUw8B9YYmJIe2fX-RhR-ZQqMRQGJstJnNRVahfbpcp_T0pZGJju7un37kmPkGuECQKwaejDhGGashMyQsEgSXORnw47FHmCbIbn5CKENQACIoxIuPfmy9iW1qY1UXVU29ZYrf1BMzbq1qtonKXK1j-3d1vtVWk6E3saV97t2hUNeqNsNNUfh2voxtW6C3Rv4oo6G13nWqPDJTlrVBf01e8ck_fHh7f5c7J4fXqZ3y2SinPGkrTIMRNZKdiMK8y5ElCrmkOOgqsCBCtExiCbceQNH3RoONY1KzNkVZkLxsfk5vh3693nToco127n7RApWc6xgMENA3V7pCrvQvC6kVtvNsr3EkEeOpVDp_Kn04GdHtm96XT_PyiXH8uj4xuxZ3mo</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2831902070</pqid></control><display><type>article</type><title>Driving digital engineering integration and interoperability through semantic integration of models with ontologies</title><source>Access via Wiley Online Library</source><creator>Dunbar, Daniel ; Hagedorn, Thomas ; Blackburn, Mark ; Dzielski, John ; Hespelt, Steven ; Kruse, Benjamin ; Verma, Dinesh ; Yu, Zhongyuan</creator><creatorcontrib>Dunbar, Daniel ; Hagedorn, Thomas ; Blackburn, Mark ; Dzielski, John ; Hespelt, Steven ; Kruse, Benjamin ; Verma, Dinesh ; Yu, Zhongyuan</creatorcontrib><description>Engineered solutions are becoming more complex and multi‐disciplinary in nature. This evolution requires new techniques to enhance design and analysis tasks that incorporate data integration and interoperability across various engineering tool suites spanning multiple domains at different ion levels. Semantic web technologies (SWT) offer data integration and interoperability benefits as well as other opportunities to enhance reasoning across knowledge represented in multiple disparate models. This paper introduces the digital engineering framework for integration and interoperability (DEFII) for incorporating SWT into engineering design and analysis tasks. The framework includes three notional interfaces for interacting with ontology‐aligned data. It also introduces a novel model interface specification diagram (MISD) that provides a tool‐agnostic model representation enabled by SWT that exposes data stored for use by external users through standards‐based interfaces. Use of the framework results in a tool‐agnostic authoritative source of truth spanning the entire project, system, or mission.</description><identifier>ISSN: 1098-1241</identifier><identifier>EISSN: 1520-6858</identifier><identifier>DOI: 10.1002/sys.21662</identifier><language>eng</language><publisher>Hoboken: Wiley Subscription Services, Inc</publisher><subject>Data integration ; Design analysis ; Design engineering ; digital engineering ; Interoperability ; Knowledge representation ; SEE24 model‐based systems engineering (MBSE) ; SEE26 modeling and simulation ; SEE29 other systems engineering enablers ; semantic web and ontologies</subject><ispartof>Systems engineering, 2023-07, Vol.26 (4), p.365-378</ispartof><rights>2023 The Authors. published by Wiley Periodicals LLC.</rights><rights>2023. This article is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3322-6981757b5243a183a50dad308153a90529572074313f3d300f31dd2b712cb8523</citedby><cites>FETCH-LOGICAL-c3322-6981757b5243a183a50dad308153a90529572074313f3d300f31dd2b712cb8523</cites><orcidid>0000-0001-9647-8073 ; 0000-0002-7931-076X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fsys.21662$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fsys.21662$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Dunbar, Daniel</creatorcontrib><creatorcontrib>Hagedorn, Thomas</creatorcontrib><creatorcontrib>Blackburn, Mark</creatorcontrib><creatorcontrib>Dzielski, John</creatorcontrib><creatorcontrib>Hespelt, Steven</creatorcontrib><creatorcontrib>Kruse, Benjamin</creatorcontrib><creatorcontrib>Verma, Dinesh</creatorcontrib><creatorcontrib>Yu, Zhongyuan</creatorcontrib><title>Driving digital engineering integration and interoperability through semantic integration of models with ontologies</title><title>Systems engineering</title><description>Engineered solutions are becoming more complex and multi‐disciplinary in nature. This evolution requires new techniques to enhance design and analysis tasks that incorporate data integration and interoperability across various engineering tool suites spanning multiple domains at different ion levels. Semantic web technologies (SWT) offer data integration and interoperability benefits as well as other opportunities to enhance reasoning across knowledge represented in multiple disparate models. This paper introduces the digital engineering framework for integration and interoperability (DEFII) for incorporating SWT into engineering design and analysis tasks. The framework includes three notional interfaces for interacting with ontology‐aligned data. It also introduces a novel model interface specification diagram (MISD) that provides a tool‐agnostic model representation enabled by SWT that exposes data stored for use by external users through standards‐based interfaces. Use of the framework results in a tool‐agnostic authoritative source of truth spanning the entire project, system, or mission.</description><subject>Data integration</subject><subject>Design analysis</subject><subject>Design engineering</subject><subject>digital engineering</subject><subject>Interoperability</subject><subject>Knowledge representation</subject><subject>SEE24 model‐based systems engineering (MBSE)</subject><subject>SEE26 modeling and simulation</subject><subject>SEE29 other systems engineering enablers</subject><subject>semantic web and ontologies</subject><issn>1098-1241</issn><issn>1520-6858</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><recordid>eNp1kL1PwzAQxS0EEqUw8B9YYmJIe2fX-RhR-ZQqMRQGJstJnNRVahfbpcp_T0pZGJju7un37kmPkGuECQKwaejDhGGashMyQsEgSXORnw47FHmCbIbn5CKENQACIoxIuPfmy9iW1qY1UXVU29ZYrf1BMzbq1qtonKXK1j-3d1vtVWk6E3saV97t2hUNeqNsNNUfh2voxtW6C3Rv4oo6G13nWqPDJTlrVBf01e8ck_fHh7f5c7J4fXqZ3y2SinPGkrTIMRNZKdiMK8y5ElCrmkOOgqsCBCtExiCbceQNH3RoONY1KzNkVZkLxsfk5vh3693nToco127n7RApWc6xgMENA3V7pCrvQvC6kVtvNsr3EkEeOpVDp_Kn04GdHtm96XT_PyiXH8uj4xuxZ3mo</recordid><startdate>202307</startdate><enddate>202307</enddate><creator>Dunbar, Daniel</creator><creator>Hagedorn, Thomas</creator><creator>Blackburn, Mark</creator><creator>Dzielski, John</creator><creator>Hespelt, Steven</creator><creator>Kruse, Benjamin</creator><creator>Verma, Dinesh</creator><creator>Yu, Zhongyuan</creator><general>Wiley Subscription Services, Inc</general><scope>24P</scope><scope>WIN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0001-9647-8073</orcidid><orcidid>https://orcid.org/0000-0002-7931-076X</orcidid></search><sort><creationdate>202307</creationdate><title>Driving digital engineering integration and interoperability through semantic integration of models with ontologies</title><author>Dunbar, Daniel ; Hagedorn, Thomas ; Blackburn, Mark ; Dzielski, John ; Hespelt, Steven ; Kruse, Benjamin ; Verma, Dinesh ; Yu, Zhongyuan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3322-6981757b5243a183a50dad308153a90529572074313f3d300f31dd2b712cb8523</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Data integration</topic><topic>Design analysis</topic><topic>Design engineering</topic><topic>digital engineering</topic><topic>Interoperability</topic><topic>Knowledge representation</topic><topic>SEE24 model‐based systems engineering (MBSE)</topic><topic>SEE26 modeling and simulation</topic><topic>SEE29 other systems engineering enablers</topic><topic>semantic web and ontologies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dunbar, Daniel</creatorcontrib><creatorcontrib>Hagedorn, Thomas</creatorcontrib><creatorcontrib>Blackburn, Mark</creatorcontrib><creatorcontrib>Dzielski, John</creatorcontrib><creatorcontrib>Hespelt, Steven</creatorcontrib><creatorcontrib>Kruse, Benjamin</creatorcontrib><creatorcontrib>Verma, Dinesh</creatorcontrib><creatorcontrib>Yu, Zhongyuan</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Wiley Online Library (Open Access Collection)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Systems engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dunbar, Daniel</au><au>Hagedorn, Thomas</au><au>Blackburn, Mark</au><au>Dzielski, John</au><au>Hespelt, Steven</au><au>Kruse, Benjamin</au><au>Verma, Dinesh</au><au>Yu, Zhongyuan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Driving digital engineering integration and interoperability through semantic integration of models with ontologies</atitle><jtitle>Systems engineering</jtitle><date>2023-07</date><risdate>2023</risdate><volume>26</volume><issue>4</issue><spage>365</spage><epage>378</epage><pages>365-378</pages><issn>1098-1241</issn><eissn>1520-6858</eissn><abstract>Engineered solutions are becoming more complex and multi‐disciplinary in nature. This evolution requires new techniques to enhance design and analysis tasks that incorporate data integration and interoperability across various engineering tool suites spanning multiple domains at different ion levels. Semantic web technologies (SWT) offer data integration and interoperability benefits as well as other opportunities to enhance reasoning across knowledge represented in multiple disparate models. This paper introduces the digital engineering framework for integration and interoperability (DEFII) for incorporating SWT into engineering design and analysis tasks. The framework includes three notional interfaces for interacting with ontology‐aligned data. It also introduces a novel model interface specification diagram (MISD) that provides a tool‐agnostic model representation enabled by SWT that exposes data stored for use by external users through standards‐based interfaces. Use of the framework results in a tool‐agnostic authoritative source of truth spanning the entire project, system, or mission.</abstract><cop>Hoboken</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1002/sys.21662</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0001-9647-8073</orcidid><orcidid>https://orcid.org/0000-0002-7931-076X</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1098-1241 |
| ispartof | Systems engineering, 2023-07, Vol.26 (4), p.365-378 |
| issn | 1098-1241 1520-6858 |
| language | eng |
| recordid | cdi_proquest_journals_2831902070 |
| source | Access via Wiley Online Library |
| subjects | Data integration Design analysis Design engineering digital engineering Interoperability Knowledge representation SEE24 model‐based systems engineering (MBSE) SEE26 modeling and simulation SEE29 other systems engineering enablers semantic web and ontologies |
| title | Driving digital engineering integration and interoperability through semantic integration of models with ontologies |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T06%3A39%3A17IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Driving%20digital%20engineering%20integration%20and%20interoperability%20through%20semantic%20integration%20of%20models%20with%20ontologies&rft.jtitle=Systems%20engineering&rft.au=Dunbar,%20Daniel&rft.date=2023-07&rft.volume=26&rft.issue=4&rft.spage=365&rft.epage=378&rft.pages=365-378&rft.issn=1098-1241&rft.eissn=1520-6858&rft_id=info:doi/10.1002/sys.21662&rft_dat=%3Cproquest_cross%3E2831902070%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2831902070&rft_id=info:pmid/&rfr_iscdi=true |