AnswersOntology
In short
An ontology is a shared model of the things a business cares about, such as customers, orders, assets and people, how they link, and the actions that change them, with the rules for who may take each action. Agents need one because an agent acting on a vague noun acts on the wrong record. Built one workflow at a time, it becomes an asset the company keeps.
| Part | Example |
|---|---|
| Objects | Customer, order, invoice, truck, technician, contract. |
| Links | This order belongs to this customer, ships from this site, on this truck. |
| Properties | Order value, due date, status, credit limit. |
| Actions | Reschedule the delivery, issue a credit, approve the invoice. |
| Rules and permissions | Who may take each action, within which limits, with which approval. |
A data warehouse stores records for reporting. A search index finds documents. A taxonomy names categories. An ontology connects the records across systems into the objects the business actually runs on, and adds the actions and rules, so an agent can act on them safely.
Model only what the first workflow needs, connected in place to the systems that hold it. The next workflow extends the same model. After a handful of workflows, most of the core business is covered, and every new agent starts from it.
In CosmOS the ontology is Astral, a live digital twin of the business: people, records, rules, decisions and outcomes in one model that every agent and app works from, with each source system's permissions intact.
A knowledge graph links facts and documents. An ontology models the objects the business runs on, plus the actions that change them and the rules for who may take them.
They describe the same idea. Fig uses digital twin for the live model every agent and app reads and acts on.
No. Model what the first workflow needs, connected in place, and improve quality where the work exposes gaps.
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