This podcast outlines the creation and application of an ontology for Korean legal information, specifically focusing on the "Framework Act on Fire Services." It describes building a structured knowledge representation using semantic web standards like OWL and RDF to model the hierarchical nature of legal documents (chapters, articles, paragraphs). The goal is to improve legal information retrieval and analysis. The document details a system that uses advanced PDF parsing to automatically identify legal structures. It further illustrates how this ontology enhances Retrieval Augmented Generation (RAG) systems, contrasting it with traditional RAG approaches. The ontology-driven RAG improves search accuracy and reduces hallucinations by incorporating semantic relationships and structured knowledge, leading to more expert-level responses.