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

Paper Submission

Research Paper Submission Tracks

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

Call for Papers Description

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.