How to Encode Meaning in Data? Semantic Encoding Explained
How do we turn meaning into symbols that computers understand and humans can trust? This episode looks at semantic encoding — the choices we make when we represent concepts as numbers, strings, codes, or vectors.
In this video, you’ll learn why encoding is a semantic decision, the trade-offs between compact and readable representations, and practical habits for making encodings robust: document mappings, keep readable copies, record provenance, version changes, and test encodings.