Intentional Arrangement
I am an Information Architect and Semantic Engineer. I have been organizing and building digital knowledge ecosystems since 1997. Intentional Arrangement is the name of my book Intentional Arrangement, to be published in 2026!
- Indexed issues, last 90 days
- 12
- Latest publication
- Sep 27, 2026
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- Jul 19, 2026
Latest issues
Ontology Pipeline Studio (opens the original)
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Ontology Pipeline now has a companion you can open in a browser. Ontology Pipeline CompanionNote: when you open the link from Substack, it will open in the same window, not a new window, in your browser. Ontology Pipeline Studio moves through the six stages of the Ontology Pipeline book, built into a tool you can touch, feel, and peruse. The stages are the book’s controlled vocabulary, metadata schema, taxonomy, thesaurus, ontology and knowledge graph, clea
The Unbearable Lightness of Meaning (opens the original)
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Humans feel discomfort the moment a question has no agreed answer. You feel it in your chest before you feel it in your reasoning. Aversion to ambiguity is a basic human disposition, and the habit of trusting an oracle to produce meaning is as old as recorded history. We are built to close the unresolved, to label it, and in so doing, make the shapeless take a shape we can act upon. And when we cannot do that for ourselves, we have always found someone, or something, to do it for us.Oracles for
Knowledge is not Data (opens the original)
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Data is a funded discipline in the modern enterprise. There may be a governance council, a quality program, a catalog team, an eleven domain body of professional practice, and a budget behind it all. Knowledge typically has none of this support and infrastructure. In most organizations, no one is responsible for what terms mean, there’s no record to capture why a definition changed, and the structure that connects the concepts the business reasons with is largely absent. The title of this essay
Knowledge Management is the Vibe (opens the original)
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The history of knowledge management, told from the library and information science domain, is a record of continuous professional labor toward solving the perpetual problem of how to describe recorded knowledge so that a person — and later a machine — can find it again. Current concepts in data and AI systems — the knowledge graph, the ontology, the controlled vocabulary, the retrieval benchmark, the distinction between tacit and explicit knowledge — have documented lineages in a field that has
The Context Game (opens the original)
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Context Panic Every organization deploying AI is running the same experiment and rendering the same results. The agent fails, workflows cannot be accurately described, and the people who understood the process left, retired, or were never employees in the first place. The ability to produce the document that explains how the work gets done remains unsolved because the document was never written as the work was never ours to document.The response has been a scramble. Prompt libraries. Context rep
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