What Ontology Actually Is | Casey Reacts
Released , 25 min
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I read Jawahar Talluri's article, "What an Ontology Actually Is," and I think it's a solid introduction to why ontologies matter—but I also think it oversimplifies what an ontology actually is.
In this response, I discuss where I agree with the article, where I think its definition falls short, and why I prefer to think of an ontology in three parts:
1. A language — a vocabulary for talking about a domain.
2. A model of reality — a representation of the things that exist and how they relate.
3. A mathematical structure — a graph that formally connects those things.
I also discuss why I think instance data belongs within the ontology, why I'm not convinced that constraints are a defining component of ontology itself, and why the article's framing seems primarily designed around using ontologies as infrastructure for generative AI and enterprise knowledge graphs.
The article makes a good case for ontologies as infrastructure. But I think there's a much broader story to tell about what ontologies are, what they can represent, and why they matter beyond GenAI.
Intro to Ontology
Part 6 of 6 in this series.
- What is ontology?10:03
- Three Metaphors for Ontology13:51
- OWL Basics9:54
- Taxonomy, Ontology, Knowledge Graph, and Semantics8:27
- Three Signs You Need Ontology6:38
- What Ontology Actually Is | Casey Reacts24:46