Putting the O in Model - Ontologies for MBSE

With origins in antiquity and ancient philosophers speculating on the nature of being, “ontology” and “ontological modelling” perhaps have a reputation for being esoteric, impenetrable and only for the purist of academics. In the last couple of decades, however, great work has been done to make ontological concepts and models readily accessible, along with the essential toolkits required to apply them at a practical level.<br/>During system development, and especially with Model-Based Systems Engineering (MBSE), it is essential to conceptualise the world that the system will inhabit, and this involves developing and structuring concepts, terms and their relationships. An ontology is an explicit specification of a conceptualizsation and provides the foundation for MBSE and architecture descriptions. Stronger foundations support longer-lived models that work better together. Increasingly, ontologies are also being recognised as essential for enterprise knowledge systems, interoperable standards and explainable Artificial Intelligence (AI).<br/>This paper, from the Safety Critical Systems Club (SCSC) Ontology Working Group (OWG), introduces modelling with ontologies. Examples show different ways to model aircraft flights and how this can affect interoperability. The examples use the Unified Foundation Ontology (UFO) and the OntoUML modelling language based on UFO and UML. The authors consider the importance of different perspectives and capturing these in our modelling and show the types of challenge a top-level ontology can help with. This demonstrates how relevant and important ontologies are for enhancing collaboration and understanding between stakeholders and the models they use.<br/>The paper concludes by outlining the OWG’s objectives for developing ontological models that will benefit everyone working in domains that involve understanding risk, such as safety and security.

Authors

Publication Details

Journal
Pure (Coventry University)
Published
2025-11-26
Primary Topic
Safety Systems Engineering in Autonomy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Putting the O in Model - Ontologies for MBSE

Dave Banham, Stephen John Powley, Paul Hampton
Pure (Coventry University)
Safety Systems Engineering in Autonomy
article

Putting the O in Model - Ontologies for MBSE

Dave Banham, Stephen John Powley, Paul Hampton
article en

Abstract

With origins in antiquity and ancient philosophers speculating on the nature of being, “ontology” and “ontological modelling” perhaps have a reputation for being esoteric, impenetrable and only for the purist of academics. In the last couple of decades, however, great work has been done to make ontological concepts and models readily accessible, along with the essential toolkits required to apply them at a practical level.<br/>During system development, and especially with Model-Based Systems Engineering (MBSE), it is essential to conceptualise the world that the system will inhabit, and this involves developing and structuring concepts, terms and their relationships. An ontology is an explicit specification of a conceptualizsation and provides the foundation for MBSE and architecture descriptions. Stronger foundations support longer-lived models that work better together. Increasingly, ontologies are also being recognised as essential for enterprise knowledge systems, interoperable standards and explainable Artificial Intelligence (AI).<br/>This paper, from the Safety Critical Systems Club (SCSC) Ontology Working Group (OWG), introduces modelling with ontologies. Examples show different ways to model aircraft flights and how this can affect interoperability. The examples use the Unified Foundation Ontology (UFO) and the OntoUML modelling language based on UFO and UML. The authors consider the importance of different perspectives and capturing these in our modelling and show the types of challenge a top-level ontology can help with. This demonstrates how relevant and important ontologies are for enhancing collaboration and understanding between stakeholders and the models they use.<br/>The paper concludes by outlining the OWG’s objectives for developing ontological models that will benefit everyone working in domains that involve understanding risk, such as safety and security.

Pure (Coventry University)
Openalex Percentile: Top 31%
Safety Systems Engineering in Autonomy
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.

Putting the O in Model - Ontologies for MBSE — Dave Banham, Stephen John Powley, et al. · Pure (Coventry University) (2025) | TGRS Research Map | TGRS