Fostering Model Reuse in Model-based Systems Engineering using Knowledge Graphs

The increasing spread of MBSE is associated with the issue of reusing the knowledge contained in different system models in different development projects. Existing approaches for the reuse of system models or elements of these can be classified into framework-based, retrieval-based, and pattern-based. While framework- and pattern-based approaches require standardized modelling methods, retrieval-based approaches are based on merging of different system models. This is not supported by current MBSE-tools. In this contribution we investigate how knowledge graphs can be generated from various SysML system models and whether and how new knowledge, e.g., about cause-effect relationships or structural patterns, can be determined.

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Publication Details

Journal
Procedia CIRP
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procir.2025.08.051
Primary Topic
Systems Engineering Methodologies and Applications
Type
article
Field-Weighted Citation Impact
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article

Fostering Model Reuse in Model-based Systems Engineering using Knowledge Graphs

Thomas Schumacher, R.M. Stephan, David Inkermann
Procedia CIRP
Systems Engineering Methodologies and Applications
article

Fostering Model Reuse in Model-based Systems Engineering using Knowledge Graphs

Thomas Schumacher, R.M. Stephan, David Inkermann
article en

Abstract

The increasing spread of MBSE is associated with the issue of reusing the knowledge contained in different system models in different development projects. Existing approaches for the reuse of system models or elements of these can be classified into framework-based, retrieval-based, and pattern-based. While framework- and pattern-based approaches require standardized modelling methods, retrieval-based approaches are based on merging of different system models. This is not supported by current MBSE-tools. In this contribution we investigate how knowledge graphs can be generated from various SysML system models and whether and how new knowledge, e.g., about cause-effect relationships or structural patterns, can be determined.

Procedia CIRPVol. 136
Clausthal University of Technology (DE)
Industry, innovation and infrastructure
Openalex Percentile: Top 72%
Systems Engineering Methodologies and Applications
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Fostering Model Reuse in Model-based Systems Engineering using Knowledge Graphs — Thomas Schumacher, R.M. Stephan, et al. · Procedia CIRP (2025) | TGRS Research Map | TGRS