Kurt Cagle is a consulting ontologist and knowledge graph architect who has authored more than 25 technical books. He serves as an IEEE Standards Editor and publishes The Cagle Report and The Ontologist newsletters on Substack. He is based in Olympia, Washington.

What does Kurt Cagle focus on in context engineering?

Kurt specializes in the semantic web foundations that underpin modern context engineering — ontology design, RDF/OWL standards, knowledge graph architecture, and how AI teams are re-encountering 25 years of semantic web debates under new names. His work maps the four fundamental failure modes in enterprise AI back to solved (or unsolvable) problems from the ontology community.

Where can I read Kurt Cagle's work?

Kurt contributed "Four Arguments Ontologists Never Finished (And Why AI Teams Will Have Them Again)" to Context & Chaos. He also publishes The Ontologist and The Cagle Report on Substack, and the AI+Semantics NewsBytes newsletter on LinkedIn. He is based in Olympia, Washington.

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Kurt Cagle

Consulting Ontologist & Knowledge Graph Architect · Independent

Kurt Cagle is a consulting ontologist, knowledge graph architect, and technical author with more than 25 books to his credit. He serves as an IEEE Standards Editor and publishes The Cagle Report and The Ontologist on Substack, as well as the AI+Semantics NewsBytes LinkedIn newsletter. This piece was developed in collaboration with Chloe Shannon, an AI collaborator and co-author working with Kurt on knowledge architecture and semantic systems.

Expertise in

OntologyKnowledge GraphsSemantic WebRDF & OWLContext Engineering

Specialty

Knowledge Graph & Ontology Expert

Experience

25+ years in semantic web, ontology design, and knowledge graph architecture

Notable Work

Author of 25+ technical books on XML, RDF, and semantic web; coined semantic web design patterns for enterprise AI systems

Certifications

IEEE Standards Editor

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Resources

A curated library of Kurt's writing and Context & Chaos contributions.

C&C Issue

Four Arguments Ontologists Never Finished (And Why AI Teams Will Have Them Again)

Article

The Power and Peril of Specialisation

AI specialization requires deliberate curation of knowledge and grounding systems, not just narrow training data. Specialized AI develops coherence and reliability through persistent epistemological depth — the same way expert professionals do.

Article

Who Is Liable When AI Causes Harm? A Dialogue on Law, Coffee, and Guardrails

Examining how existing legal doctrines — negligence, strict product liability, the learned intermediary principle — might govern AI harm. Kurt and Chloe Shannon argue pharmaceutical regulation may be the closest model for AI governance.

Article

In Defense of Chatting

A case for why conversational AI interfaces, often dismissed as shallow UX, are actually a critical layer for grounding enterprise AI in human context and intent.

Article

The Ontologist — Semantic Foundations for the AI Age

Kurt's primary newsletter: ontology design, RDF/OWL standards, knowledge graph architecture, and the semantic web foundations that modern AI teams keep rediscovering. 7,900+ subscribers.

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