This chapter takes a broad, cross-disciplines view of conceptual structure as the sufficient precursor of knowledge. This premise is described and supported using less-traditional argument by example from cognitive theories, linguistics, large language models (LLM), research on neuroimaging, along with simple explanatory examples using terms-context vectors for network representation. If so, then all cognitive and learning theory and research should include conceptual structure measures and interpretations to support diverse theories and practice.