Ontology Health
IQ · General availability · Planned
Description
We are introducing Ontology Health in Microsoft Fabric to help modelers quickly assess whether an ontology is ready for real-world use. With this capability, ontology quality is continuously evaluated across three core areas--foundation, validation, and refinement--ensuring models are structurally sound, properly configured, and operationally ready. With this capability, you can: * Identify structural issues and inconsistencies through foundation checks to ensure the ontology is sound. * Verify required configurations using validation checks to confirm completeness and correctness. * Improve clarity, coverage, and usability with refinement checks for downstream consumption. * Quickly prioritize fixes with results categorized as Critical, Warning, or Information. * Navigate directly to impacted elements with guided actions, enabling faster issue resolution and increased trust in queries, graph experiences, and AI-powered outcomes.
Change History
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2026-07-08
Release Date 2026-09-30 -> 2026-12-31Release Type Public preview -> General availability -
2026-06-17
Feature Description Ontology Health helps Microsoft Fabric modelers quickly understand whether an ontology is ready for real use.It continuously checks ontology quality across three core areas:Foundation: Is the model structurally sound and internally consistent?Validation: Are required configurations present and correct?Refinement: Is the ontology clearcompleteand operationally ready for downstream use?Results are shown as CritialWarningor Informationwith clear guidance and direct navigation to the exact element that needs attention. This helps teams catch issues earlyfix them fasterand improve trust in queriesgraph experiencesand AI-powered outcomes. -> We are introducing Ontology Health in Microsoft Fabric to help modelers quickly assess whether an ontology is ready for real-world use. With this capabilityontology quality is continuously evaluated across three core areas--foundationvalidationand refinement--ensuring models are structurally soundproperly configuredand operationally ready. With this capabilityyou can: * Identify structural issues and inconsistencies through foundation checks to ensure the ontology is sound. * Verify required configurations using validation checks to confirm completeness and correctness. * Improve claritycoverageand usability with refinement checks for downstream consumption. * Quickly prioritize fixes with results categorized as CriticalWarningor Information. * Navigate directly to impacted elements with guided actionsenabling faster issue resolution and increased trust in queriesgraph experiencesand AI-powered outcomes.Restored to Roadmap -
2026-06-16
Removed from Roadmap -
2026-06-02
Roadmap Item Added
Workload: IQ