Enhancing Ontology Engineering with LLMs: From Search to Active Learning Extensions
Enhancing Ontology Engineering with LLMs: From Search to Active Learning Extensions
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This paper explores the application of LLMs to ontology engineering tasks within the HumAIne project. The authors present a methodology for for LLM-driven discovery, analysis, and extension of ontologies related to Data Mining, Machine Learning, and manufacturing domains. LLMs were employed to identify suitable ontologies and extend them with Active Learning concepts. While LLMs significantly streamline ontology-related tasks, challenges remain, including the need for domain-specific validation in pilot case studies.