Logo des Repositoriums
 

Domain-agnostic Intelligent Digital Twins: Merging of Application-near Knowledge Representations with the Proactive Internet of Digital Twins (IoDT)

dc.contributor.authorLehmann, Joel
dc.contributor.authorLober, Andreas
dc.contributor.authorHäußermann, Tim
dc.contributor.authorRache, Alessa
dc.contributor.authorBaumgärtel, Hartwig
dc.contributor.authorReichwald, Julian
dc.contributor.editorKlein, Maike
dc.contributor.editorKrupka, Daniel
dc.contributor.editorWinter, Cornelia
dc.contributor.editorWohlgemuth, Volker
dc.date.accessioned2023-11-29T14:50:23Z
dc.date.available2023-11-29T14:50:23Z
dc.date.issued2023
dc.description.abstractFlexibility and reconfigurability regarding mass-customized products are the key premises of future industrialization. The amalgamation of Digital Twin (DT) approaches, knowledge-representing technologies, and skill-based engineering methodologies allow such approaches to emerge. This paper deals with the integration of knowledge representations as a driver for holistic system intelligence ranging from physical assets to the Internet of Digital Twins (IoDT) within the Digital Twin Reference Model (DTRM). This is what it takes to spur DTs to intelligence and proactive collaboration behaviors. Despite the domain-agnostic, universal applicability of the concept, exemplary implementation approaches from the field of production and intralogistics illustrate the feasibility. Specific domain knowledge can be dynamically aggregated and used as a basis for negotiation scenarios between DTs.en
dc.identifier.doi10.18420/inf2023_176
dc.identifier.isbn978-3-88579-731-9
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/43103
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2023 - Designing Futures: Zukünfte gestalten
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-337
dc.subjectDigital Twin
dc.subjectInternet of Digital Twins
dc.subjectIoDT
dc.subjectKnowledge Graph
dc.subjectMarketplace
dc.subjectCyber-physical Systems
dc.titleDomain-agnostic Intelligent Digital Twins: Merging of Application-near Knowledge Representations with the Proactive Internet of Digital Twins (IoDT)en
dc.typeText/Conference Paper
gi.citation.endPage1738
gi.citation.publisherPlaceBonn
gi.citation.startPage1725
gi.conference.date26.-29. September 2023
gi.conference.locationBerlin
gi.conference.sessiontitleWirtschaft, Management Industrie - Joint Workshop IntDig 2023 MOC 2023; Intelligente Digitalisierung, (KI-basiertes) Management und Optimierung komplexer Systeme

Dateien

Originalbündel
1 - 1 von 1
Vorschaubild nicht verfügbar
Name:
09_01_02_Lehmann.pdf
Größe:
500.37 KB
Format:
Adobe Portable Document Format