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AWS Introduces Context Ontology Accelerator

AWS launches an open-source Context Ontology Accelerator to help organizations build machine-readable business models, enabling AI agents to make consistent, explainable decisions through a knowledge graph and Model Context Protocol.

AWS announces the Context Ontology Accelerator, an open-source tool that helps organizations build an ontology of their business-a machine-readable model of products, customers, policies, and operational rules for AI agents to make accurate, consistent, explainable, and auditable decisions. The accelerator connects to structured and unstructured data sources, using AI to draft an ontology for domain experts to review, edit, and approve. The approved ontology is stored in a knowledge graph owned by the user, expressed in open W3C standards and consumable by any agent via the included Model Context Protocol server. This tool reduces months of manual ontology authoring to days, from data connection to governed answers for agents. Available today on GitHub under Apache 2.0, the initial release uses Amazon Neptune as the graph store, Amazon OpenSearch Serverless as the vector store, and foundation models hosted on Amazon Bedrock. Users can deploy it themselves or engage AWS Professional Services. The managed, user-defined ontology capability will become a fully managed feature native to AWS Context. For more information, read the documentation.

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