Harald SackIn Weimar at the Workshop on Generative AI for Cultural Data and Text Data, I was presenting "Intuition vs Precision - LLMs for Ontological Engineering", in which we also show some experiments in how LLMs can support the ontology lifecycle.
presentation: https://zenodo.org/records/14041279
#llms #ontologies #ontologicalengineering #dh #digitalhumanities @nfdi4culture @NFDI4Memory #NFDIrocks @fizise @fiz_karlsruhe @enorouzi @sourisnumerique #semanticweb #knowledgegraphs
Intuition vs. Precision - Large Language Models in Ontological Engineering
The development of precise and meaningful ontologies requires close collaboration between ontology experts and domain specialists. The necessary knowledge transfer between these groups is often time-consuming and complex. Large Language Models (LLMs) offer promising approaches to automate and accelerate this process. LLMs can support various phases of the ontology lifecycle, for example, in generating term suggestions, creating definitions, or generating and evaluating competence questions. The talk highlights various possible uses of LLMs in ontology development, discusses both opportunities and risks, and presents initial results.
FIZ Karlsruhe
FIZ KDAI Research Group
