Development of Ontological Knowledge Bases by Leveraging Large Language Models

Researchers have developed a new methodology that leverages Large Language Models to automate the creation of Ontological Knowledge Bases, addressing traditional challenges of manual development. The approach demonstrates significant improvements in scalability, consistency, and efficiency through automated knowledge acquisition and continuous refinement cycles.

• →LLMs can significantly accelerate ontology construction processes and improve consistency in knowledge base development.
• →The methodology enables automated ontology artifact generation and continuous refinement cycles.
• →Traditional manual OKB development faces scalability, consistency, and adaptability challenges that AI can address.
• →The approach includes effective bias mitigation and enhanced transparency in ontology engineering.
• →Case study in vehicle sales domain demonstrates practical applications of LLM-powered knowledge management systems.