Knowledge Area
Ontology — Modeling Data as Objects, Links, and Actions
How to turn your company’s reality into Objects, Links, and Actions that both AI and people can understand together — instead of leaving it as tables and columns.
Why this area matters
The most common reason enterprise AI never gets past the chatbot stage isn’t model quality — it’s that the data still has no meaning attached to it. Ontology is a practical way to define that meaning up front, so AI and people can work with the same data using the same language.
Reading order
- What Is Palantir Ontology? A Practitioner’s Explanation
- Ontology Core Components: Object, Link, Action Type, and Functions Explained
- Ontology Naming Falls Apart Over Time — Here’s a Standard That Prevents It
- Palantir Foundry Ontology Manager Guide: 5 Mistakes to Avoid When You Design Your First One
- RDB Joins vs. Ontology Traversal: The Same Question, Two Data Approaches
Curious how Ontology gets built on top of an actual Foundry pipeline?
Go to the Foundry guides