Oct 2026· Proceedings of the ACM/IEEE 29th International Conference on Model Driven Engineering Languages and Systems· 0 citations· 21 references
TL;DR
OWL 2 punning is used as a pragmatic encoding for dual roles in the FSL ontology, thereby serving as a case study for a domain ontology that could benefit from proper multi-level modelling support.
Abstract
The ‘Foundations of Software Languages’ (FSL) ontology integrates software languages, tools, artifacts, concepts, technological spaces, and engineering activities. FSL features types of resources that must be treated both as objects of discourse and as classifiers, for example, when modelling artifact kinds or language concepts. FSL leverages OWL 2 punning as a pragmatic encoding for such dual roles, thereby serving as a case study for a domain ontology that could benefit from proper multi-level modelling support.
This panel brings together researchers and practitioners to examine how ontology practices are evolving, focusing on design strategies, human–AI collaboration, validation, and the role of ontologies in supporting reliable, interpretable, and reusable knowledge in an AI-driven environment.
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