The podcast introduces TTL (Terse RDF Triple Language) as a human-readable format for representing RDF data. TTL utilizes a triple structure (subject, predicate, object) and namespaces to create concise and easily understandable data models. It highlights TTL's advantages over RDF/XML and JSON-LD, emphasizing its readability, namespace support, and ease of data conversion. The text demonstrates TTL's application in data modeling scenarios like product information and social networks. Furthermore, it contrasts TTL with JSON, noting the graph structure, standardization, query capabilities, and extensibility advantages of TTL, demonstrating its suitability for structured data representation and management with semantic clarity. The document also references tools that support TTL, including SPARQL engines and RDF libraries such as Apache Jena and RDFlib.