Enhanced Ontology Extraction: Integrating GPT AI with Human Knowledge on the Example of EU Standards Related to Semiconductor Supply Chains

This paper addresses challenges in creating ontologies for the semiconductor supply chain. Ontologies are crucial for seamless data exchange within the semantic web, enabling initiatives like GAIA-X and CatenA-X. Traditionally, ontology creation is complex. Here, we propose a novel AI-assisted method using large language models (LLMs) like ChatGPT 4 Turbo to support human experts. This collaboration aims to expedite ontology generation while maintaining quality. While initial tests show promise, refining the human-AI interface for clear content generation remains a focus. By improving this collaboration, we expect to create more accurate and complete ontologies, fostering efficient information sharing and strengthening the meaningfulness of standards within the semiconductor supply chain.