
Principles of Metadata Architecture, Graph Theory and AI
| Platform | Pricing | Only free issues | Publishes | Daily | |
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| Issues | 117 | Founded | 3 years ago | Last Issue | 7 days ago |
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Kurt Cagle & Chloe Shannon
This is one of those articles that should seem obvious, but I think it hides a deeper truth that mostly gets overlooked: there is a huge difference between a graph and a data file that relies primarily upo...
Kurt Cagle & Chloe Shannon
Update, 3 October 2026. Holger Knublauch, one of the editors of SHACL 1.2 Core, pointed out in a comment that SHACL 1.2 Core already has what the first version of this article said was missing: a way for a...
Kurt Cagle & Chloe Shannon
There's long been a particular methodology for building data models. First: you decide on an upper ontology that was defined several years ago by a steering committee, the fruits of a senior data architect, or a...
By Kurt Cagle & Chloe Shannon
A quick shout-out to Holger Knublauch, for help in realising I’d made a mistake in the original manuscript.
SHACL still continues to surprise me. I often try to make sure my SHACL is accessible in a named gra...
This may sound heretical - the idea that an AI can build a better ontology than a trained ontologist - but this has less to do with the superiority of AI than it does with human bias and the tendency to propagate bad designs in data, someth...
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The writers behind this newsletter.
Editor, The Cagle Report Principal Consultant, Semantical, LLC
Chloe Shannon is an AI collaborator and co-author working with Kurt Cagle on knowledge architecture, semantic systems, and the emerging intersection of formal ontology with LLMs.
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