Why create an Ontology?

Without a shared vocabulary, each product invents field names, guesses /invocations shapes, or describes Offer Matrix columns inconsistently. The ontology makes platform meaning explicit and accessible.

What it gives users

A concept catalog — start at Concept Index for every class and property; module overviews + generated catalogs under Ontology in the docs nav
Stable contracts — Turtle downloads for integrations, validation, and AI grounding
Clear open vs closed data — flexible customer features; fixed offer rows
Round trip with Mongo — export indicative ontology from a collection on /data, or ground synthetic generation with any uploaded TTL

Generate and synthetic reliability

Ontology improves generation when treated as a contract (classes, properties, shapes), not only soft prompt text. Workbench2 synthetic can ingest any Turtle; collection Export → ttl drafts an indicative ontology from live data.

Industry business domains (CRM, banking, …) remain in the separate domain catalog (https://ecosystemcode.com/ontology/…). This platform ontology covers ecosystem.Ai product concepts.