This podcast explains what ontologies are, exploring their philosophical, practical, and agent-oriented perspectives. It provides an example of an ontology modeling an organizational structure with entities, properties, and relationships. The text details several ontology representation languages, such as CyCL, KIF, XML, RDF, and OWL. It highlights OWL (Web Ontology Language) and RDF/RDFS as particularly well-suited for use with Large Language Models (LLMs). This is due to their abilities to represent structured knowledge and facilitate automated reasoning. The document suggests combining OWL and RDF with LLMs to create more sophisticated AI systems.