Ontology Corpora for LLM-based Knowledge Engineering Research

Generative AI (GenAI) solutions are likely to have a profound impact on the Knowledge Engineering (KE) field. Considerable research is needed to understand the extent to which various KE tasks can be performed with GenAI, how the performance of these tasks compares to human baselines, and how to effectively adapt KE workflows to make the best use of GenAI methods. To conduct such research, there is a need of collections of corpora of ontologies with a range of diverse characteristics to support systematic experimentation covering a broad variety of ontology types. We propose collecting such corpora and describe our ongoing efforts to collect ontologies created by students, as representative for the work of junior ontology engineers (beginners level knowledge engineering skills). We also create an ontology analysis workflow to extract key metadata from ontologies and associated reports, which we share with the community.