HeyJaredKnowledge Graph Insights
Interviews with experts on semantic technology, ontology design and engineering, linked data, and the semantic web.
- Indexed episodes, last 90 days
- 5
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- Sep 7, 2026
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- Jul 7, 2026
Latest episodes
Jessica Talisman: The Ontology Pipeline Knowledge Engineering Framework – Episode 57 (opens the original)
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Jessica Talisman When the idea of the semantic spectrum was introduced 25 years ago, it was meant to be a conceptual tool to help programmers and architects understand the relative benefits of different levels of semantic effort. Now, a couple of decades later, Jessica Talisman has repurposed the model as a way to organize the actual process of developing enterprise knowledge infrastructure, which she shares in her new book, "Ontology Pipeline: A Framework for Knowledge Engineering." We talked a
Eric Little: Super Domains, the Original Context Graph – Episode 56 (opens the original)
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Eric Little Knowledge graphs are complicated. They might entail multiple ontologies, several data sources, and any number of generated graphs and other context-establishing elements. Eric Little came up with the idea of "super domains" to understand and manage these important but ephemeral pieces of an enterprise's semantic knowledge architecture. A super domain might establish context that holds for just a few seconds for an ATM transaction or for several years for a clinical trial. We talked a
Dougal Watt: Human-Guided, LLM-Assisted Ontology Modeling – Episode 55 (opens the original)
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Dougal Watt Most conversations about taming generative AI focus on guardrails bolted on after the fact. Dougal Watt takes a different approach: generate the meaning first, as an ontology, and let everything else — agents, APIs, knowledge graphs — flow from that. His standing-room-only workshop on AI-augmented ontology creation at the Knowledge Graph Conference drew both business executives and semantic engineers, highlighting the broad interest in the need for accurate, trustworthy AI. We talked
Yann Le Franc: From Semantic Silos to Shared Ontology Practice – Episode 54 (opens the original)
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Yann Le Franc The emerging field of neurosymbolic AI — combining LLMs and knowledge graphs in hybrid AI architectures — is new to a lot of people. For Yann Le Franc, it's the story of his career — from his academic days as a computational neuroscientist to his current work creating enterprise systems that ground LLMs in ontology-backed knowledge graphs. Over his extensive research and consulting career, Yann has honed his ontology design process, which he's now sharing in a platform that guides
Ben Rode: Porting the Cyc Ontology to RDF – Episode 53 (opens the original)
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Ben Rode As the Cyc project winds down, one of its main contributors, Benjamin Rode, is attempting to migrate as much as possible of its upper ontology to RDF. It's an ambitious project, much like Cyc itself. Cyc arose from the early AI research community, and Ben has a fascinating perspective on that milieu as well. We talked about: his work to port as much as possible of the Cyc upper ontology into RDF the surprisingly long history of neuro-symbolic AI some interesting details and anecdotes ab
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