Ontology Platform
A shared business model connects enterprise concepts, relationships, rules and agent capabilities.
Six capability layers
- L1 — Business: domain entities, relationships, axioms and business rules.
- L2 — Bridge: cross-domain mappings and semantic alignment.
- L3 — Skills: inputs, outputs, prerequisites, routing and execution records.
- L4 — Context: persistent task state and relevant semantic subgraphs.
- L5 — Memory: beliefs, goals, plans and reviewed experience.
- L6 — Harness: expected outputs, reference cases, regression checks and quality records.
These are capability layers. Upper, domain, enterprise and project models describe a separate classification of knowledge scope.
Build the smallest useful model
Start from competency questions: what should the system be able to answer, and what evidence will establish an acceptable result? Model the necessary concepts and relationships, choose supported reasoning methods and validate results against reviewed examples.
Quality and release
Test standard cases, boundary conditions, invalid inputs and exceptions. Trace defects to data, rules and versions. Promote a model only after the relevant checks and business review pass.
Supported rule subsets, connectors, deployment requirements and interfaces are confirmed in the integration contract. Numerical performance and availability commitments require a documented workload and a written agreement.