Models-Meet-Data: A Hybrid Query Language for Digital Twins

URN to cite this document:: urn:nbn:de:bvb:355-epub-779156
DOI to cite this document:: 10.5283/epub.77915

Zech, Philipp

; Burger, Manuel ; Wald, Linus ; Pobitzer, Philipp ; Hammes, Sascha

; Michael, Judith

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Date of publication of this fulltext: 06 Oct 2025 07:17

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Item type:	Conference or workshop item (Paper)
Open Access Type:	Other
Publisher:	Springer
Date:	14 July 2025
Institutions:	Informatics and Data Science > General computer science > Chair of Programming and Software Engineering (Prof. Dr. Judith Michael)
Projects (Historical):	Austrian Research Promotion Agency (FFG), 910225, BORE-ALIS, Austrian Research Promotion Agency (FFG), 898708, TwinLight
Keywords:	Digital Twins, Models-meet-data, Domain-specific Language, Query Language, Data Integration
Dewey Decimal Classification:	000 Computer science, information & general works > 004 Computer science
Status:	In Press
Refereed:	Yes, this version has been refereed
Created at the University of Regensburg:	Yes
Item ID:	77915

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Abstract

The full potential of Digital Twins (DTs) is hindered by the challenge of integrating complex engineering models with high-frequency runtime data from disparate sources. Existing approaches lack a unified mechanism to query across the boundary of static models and dynamic data, leading to fragmented and inconsistent DT systems. We introduce a hybrid query language that unifies model and data ...