Our Ontology Builder is where the most critical step of your analytics journey begins. Before you can build a single trusted Workbook or ML model in ML Hub, you must first create a clean, reliable map of your business. This is that tool.
Here, you will transform raw, physical data tables into a meaningful "digital twin" of your enterprise. You will create reusable Objects (e.g., Customer
, Product
) and define their Relationships that become the single source of truth for the entire Arkham platform.
Our Ontology Builder UI, showcasing the visual graph that maps business relationships and the Details Panel providing a live preview of the underlying data for a selected Object.
Our Ontology Builder is structured around a central visual graph and three key panels for inspection, management, and impact analysis.
The central part of the screen is our Ontology Graph, a canvas that visually represents your Objects and the relationships between them.
Pilot
, Aircraft
, Flight
). These are the core entities of your business.Aircraft
can have many Flights
).You can click and drag to pan the canvas and use the mouse wheel to zoom in and out, making it easy to navigate even very large and complex ontologies.
When you select an Object in our Ontology Graph (like the Aircraft
Object in the example), our Details Panel appears at the bottom. This is where you can inspect and manage the selected Object.
Our Preview tab allows you to see the live data for the first 100 instances of the selected Object, directly from the Lakehouse. This is invaluable for quickly validating that your Object is mapped correctly and that the underlying data is as you expect, before it gets used in a critical report.
Our Details tab provides a comprehensive overview of the Object's configuration.
Year
, Built
) and a description. These become the trusted, reusable dimensions and features for downstream analytics and ML models.On the right-hand side, the Dependents Panel provides critical, automated data lineage. It shows you all the downstream resources in our Arkham platform that consume the selected Object. This is your primary tool for impact analysis.
This panel removes the guesswork from maintenance, making your semantic layer safe to evolve and improve over time.
+ Add Object
button in the top-right corner opens a wizard that allows you to create a new Object by mapping it to a production-grade dataset in your Lakehouse.🤖 AI-Assisted Ontology Modeling with TARS
As your AI co-pilot, TARS can significantly accelerate the development of your Ontology. Instead of manually mapping objects and properties, you can use natural language to have TARS perform these actions for you. It can also help you understand the current state of your ontology and its downstream dependencies.
"TARS, analyze the@sales_transactions
and@customer_details
datasets. What objects and relationships could I model from them?"