Empowering Systems Engineering Through Semantic Approaches

ABSTRACT Systems engineering (SE) is increasingly centered on advancing from model‐based systems engineering (MBSE) to semantic‐based systems engineering (SBSE) and further integrating Digital Twin technologies. This evolution is driven by the development and use of ontologies, which provide the flexibility needed to address key challenges in MBSE, such as resolving semantic ambiguities and improving data exchange. The European Space Agency (ESA) exemplifies this shift, with numerous initiatives to improve cross‐disciplinary collaboration and data integration, positioning SE at the heart of these efforts. By incorporating modular domain ontologies and embracing semantic technologies, ESA is driving new collaborative design capabilities within SE. This paper reviews the critical role of semantic approaches in empowering SE practices and delves into their application, benefits, and future research directions. Key ESA initiatives are highlighted, alongside a demonstration of a mission that simulates this approach on a small scale.

Authors

Institutions

Publication Details

Journal
Systems Engineering
Published
2025-04-05
DOI
https://doi.org/10.1002/sys.21814
Citations
1
Primary Topic
Systems Engineering Methodologies and Applications
Type
article
Field-Weighted Citation Impact
1.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Empowering Systems Engineering Through Semantic Approaches

Jean‐Loup Terraillon, Nikolena Christofi, Alberto Gonzalez Fernandez, Elaheh Maleki et al.
1 citations
Systems Engineering
Systems Engineering Methodologies and Applications
1.21
article

Empowering Systems Engineering Through Semantic Approaches

Jean‐Loup Terraillon, Nikolena Christofi, Alberto Gonzalez Fernandez, Elaheh Maleki, Quirien Wijnands, Nils Fischer
article en
1 citations

Abstract

ABSTRACT Systems engineering (SE) is increasingly centered on advancing from model‐based systems engineering (MBSE) to semantic‐based systems engineering (SBSE) and further integrating Digital Twin technologies. This evolution is driven by the development and use of ontologies, which provide the flexibility needed to address key challenges in MBSE, such as resolving semantic ambiguities and improving data exchange. The European Space Agency (ESA) exemplifies this shift, with numerous initiatives to improve cross‐disciplinary collaboration and data integration, positioning SE at the heart of these efforts. By incorporating modular domain ontologies and embracing semantic technologies, ESA is driving new collaborative design capabilities within SE. This paper reviews the critical role of semantic approaches in empowering SE practices and delves into their application, benefits, and future research directions. Key ESA initiatives are highlighted, alongside a demonstration of a mission that simulates this approach on a small scale.

Systems EngineeringVol. 28(6)
European Space Research and Technology Centre (NL)
Openalex Percentile: Top 23%
Systems Engineering Methodologies and Applications
1.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.