Join the Stardog Product Team on Thursday, March 5th at 11 AM Eastern as we walk through the latest capabilities and provide a preview of what’s next. This release removes key bottlenecks in knowledge engineering, enabling teams to build, validate, and operationalize semantic models faster and with greater confidence. New capabilities span streamlined ontology development, model-mapping validation, ontology-driven knowledge extraction, governance, and synthetic data generation – supporting production-grade Semantic AI.

Key highlights and benefits from this release:

• Streamlined mapping experience: A redesigned mapping UX simplifies ontology development and data-to-model alignment. Engineers can define, evolve, and maintain mappings more efficiently, reducing manual effort and accelerating deployment.
  
• Model-mapping validation with actionable guidance: Automated validation checks detect inconsistencies, incomplete mappings, and modeling errors. The system surfaces issues early and recommends corrective actions to improve semantic model quality before downstream use.
• Ontology-driven knowledge extraction (beyond RAG): Move beyond chunk-and-retrieve approaches. Knowledge is extracted from unstructured text documents using domain-centric ontologies, then normalized and linked to structured data in databases. The result is a unified semantic layer that supports more precise querying, reasoning, and explainable AI across structured and unstructured sources.
• Granular security and governance: New Designer security roles provide fine-grained control over access to models, mappings, and publishing workflows. This enables safe collaboration between domain experts and data engineers while maintaining enterprise governance standards.
• Synthetic data generation from model concepts: Generate ontology-aligned synthetic data to validate models, mappings, and use cases early. This accelerates iteration, testing, and value validation without dependence on sensitive or production datasets.

Stardog continues to differentiate as a Semantic AI platform where ontologies are not artifacts – but executable foundations for AI, analytics, and reasoning.

More details are available in the Release Notes or join the conversation in our Stardog Community.