This research introduces novel techniques for automatically generating OWL ontologies using large language models, dramatically simplifying a traditionally complex engineering process.

• Presents two innovative prompting techniques: Memoryless CQbyCQ and Ontogenia
• Transforms user stories and competency questions into functional ontology drafts
• Reduces the time and expertise required for ontology development
• Demonstrates LLMs' capability to understand and formalize domain knowledge

This advancement matters for engineering teams by providing accessible tools to create knowledge graphs and semantic structures without specialized expertise, enabling faster knowledge management and integration across systems.

Original Paper: Ontology Generation using Large Language Models