O'Reilly builds a working data vocabulary for the semantic era, from warehouses to ontologies
rseroter · x · 2026-09-22
A 12-minute O'Reilly article by Jeremy Arendt tackles the growing confusion in data terminology during the AI era.
Two core problems it identifies:
- Vendors keep coining new terms or redefining existing ones, so the same word can carry six different meanings across vendors before a design conversation even starts.
- Key semantic-era vocabulary (like "ontology", from Tom Gruber's 1993 definition) originates in academic disciplines practitioners rarely touch, making it impractical for decision-makers.
The article offers a working vocabulary to help teams establish shared language amid the lexical chaos.
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