From Prompt to Graph: Comparing LLM-Based Information Extraction Strategies in Domain-Specific Ontology Development (opens in new tab)

arXiv:2602.00699v1 Announce Type: cross Abstract: Ontologies are essential for structuring domain knowledge, improving accessibility, sharing, and reuse. However, traditional ontology construction relies on manual annotation and conventional natural language processing (NLP) techniques, making the process labour-intensive and costly, especially in specialised fields like casting manufacturing. The rise of Large Language Models (LLMs) offers new possibilities for automating knowledge extracti...