LLMs for Ontology Engineering
Core Contribution
Examination of how Large Language Models can assist with ontology creation, extension, and maintenance. Includes methods for LLM-assisted concept extraction, relationship identification, and quality checking.
Key Patterns
- LLM-generated ontology candidates + human validation
- Consistency checking using LLM reasoning
- Gap identification through LLM analysis of domain text
Challenges
- Hallucination in relationship extraction
- Inconsistent terminology generation
- Need for domain expert oversight
Related: 06-molecule—knowledge-graph-construction, 06-molecule—llm-hallucination-knowledge-engineering