Bridging Textual and Graphical Representations with Knowledge Graphs in Modeling Languages

Schick, Johannes; Wagner, Marc; Lippe, Wolfram-Manfred

Forschungsartikel in Online-Sammlung (Konferenz) | Peer reviewed

Zusammenfassung

This paper introduces a novel approach for transforming models between textual and graphical representation formats using knowledge graphs. We apply this method within an Identity and Access Management (IAM) environment, utilizing a context-specific modeling language to define interactions among IAM components and actors in a socio-technical system. Our approach emphasizes communicative interactions and environmental constraints of the different communicators, supporting distinct grammars for both representation forms. Additionally, we delve into knowledge graph methodologies for model-based transformations, developing transformation patterns to facilitate this process. By leveraging knowledge graph patterns, we ensure adaptable and precise model transformations, significantly improving interoperability in model-driven engineering. This flexibility makes knowledge graphs well-suited for accommodating various language constructs.

Details zur Publikation

Name des RepositoriumsIEEE Xplore
StatusVeröffentlicht
Veröffentlichungsjahr2025
Sprache, in der die Publikation verfasst istEnglisch
Konferenz8th International Conference on Software and System Engineering (ICoSSE), 04-06 April 2025, Nice, Frankreich
DOI10.1109/ICoSSE65712.2025.00024
StichwörterAdaptation models; Analytical models; Biological system modeling; Semantics; Knowledge graphs; Syntactics; Grammar; Trajectory; System analysis and design; Context modeling

Autor*innen der Universität Münster

Lippe, Wolfram-Manfred
Institut für Informatik