SIG LLODIA: Towards Ontology-based DT Service Construction and Reporting

SIG LLODIA Seminar: Towards Ontology-based Digital Twin Service Construction and Reporting

We are pleased to announce our first event of 2026 featuring a seminar by renowned expert in the field - Benley Oakes of Polytechnique Montréal, Canada!
This seminar is a great opportunity to learn from a leading professional in the industry. Don't miss out on this chance to expand your understanding of digital twins and engage with like-minded individuals. Register now to secure your spot!
Abstract:

Digital Twins (DTs) are constructed by multiple stakeholders, reason about multiple domains, and perform multiple services for the physical system. Thus it is natural to consider ontologies to formally capture domain knowledge and to utilize ontological reasoning capabilities for integration, consistency checking, and as a common language for DTs.

In this talk, Prof. Bentley Oakes will discuss ongoing work in applying ontological techniques to the construction and reporting of DTs. First, a short introduction to the Ontological Modelling Language (OML) will be provided. An initiative from NASA JPL, OML provides an engineering-focused layer above OWL, aiding in the creation of ontologies. Second, the research on service-driven engineering will be presented, which captures DT services and their development workflows in an ontological form. This allows the user to be guided through service development and deployment. Third, the talk will focus on recent work on DTInsight, which is a game-engine-based tool for displaying a conceptual visualization of a DT, based on a 21-characteristic reporting framework.

Speaker Bio:

Prof. Bentley Oakes is an Assistant Professor in the Department of Computer and Software Engineering at Polytechnique Montréal in Canada. He completed his Master’s and PhD at McGill University, before becoming a post-doctoral researcher at both the University of Antwerp and the Université de Montréal.

His interests and experiences are diverse, ranging from Digital Twins (including their structure, construction, and reporting) to model-driven engineering, ontologies, verification and validation (including formal verification), machine learning, co-simulation, and many other topics. His research focuses on capturing and utilizing the domain knowledge possessed by domain experts, such that they can more easily construct and reason about their complex systems.