About us

Ontological modeling and analysis have seen growing adoption in Model-Based Systems Engineering, Software Engineering, and related fields such as Digital Twins. Modern engineering systems demand the ability to capture, integrate, and reason over heterogeneous domain knowledge, which is a problem that ontological approaches address well and one that can be further leveraged by recent advances in AI and ML, including Large Language Models. The second onto:Nexus workshop continues the work of its predecessor by gathering researchers, practitioners, and tool developers working at this intersection, facilitating discussion and generating new ideas.

Important Dates

Fri, Jun 26, 2026
Abstract submission
Fri, Jul 3, 2026
Paper submission
Fri, Jul 31, 2026
Notification of acceptance
Fri, Aug 14, 2026
Camera-ready submission

Call For Paper

Ontological modeling methods, analysis techniques, and processes formodel-based software and systems engineering
Best practices, guidelines, case studies, and benchmarks for ontological modeling
Ontology development through collaboration, machine learning, or otherautomated approaches
Tools and frameworks supporting ontological modeling and analysis
Empirical studies on the use of ontologies in MBSE
Connections between ontologies and formal methods
Organizational and governance aspects of ontology management
Semantic interoperability in software and systems engineering
AI-assisted ontological modeling and analysis, and the use of ontologies tosupport AI systems
Human-in-the-loop approaches for integrating human knowledge and behavior into ontological modeling

The workshop welcomes early-stage research, foundational contributions, and applications to real-world case studies in ontological modeling and analysis for Model-Based Systems Engineering, Software Engineering, and related fields.