The Graph Behind the Graph: Tracing Ontology Design Decisions
- Play from Introduction
- Play from The Value of Semantic & Knowledge Layers
- Play from The Problem: Lost Ontology Design Decisions
- Play from Recap: Agent Skills & Agent Memory Package
- Play from Setup: Claude Desktop with Agent Memory MCP
- Play from Running the Ontology Builder with Reasoning Trace
- Play from Watching the Trace Build Live in Neo4j
- Play from Ontology Quality Evaluation Step
- Play from Querying the Reasoning Trace for Past Decisions
- Play from Wrap-up
- 1Ontology Creation with the Neo4j MCP Server
- 2Supercharging Neo4j Aura Agents with Ontologies
- 3Ontologies, LLMs, Property Graphs – Do we really have a “Jaguar Problem”?
- 4Evaluating the Quality of Ontologies
- 5Neo4j Agent Memory
- 6Validating Neo4j Graphs with SHACL
- 7Agent Skills For Creating and Using Ontologies
- 8The Graph Behind the Graph: Tracing Ontology Design Decisions
- 9Shape agent memory with ontologies
- 10Actionable Knowledge For Agents With Context Graphs
- 11Unwrapping OKF (and Season 3)
Season 03 Episode 8 of Going Meta – a Series on Semantics, Knowledge Graphs and All Things AI
Topic: The Graph Behind the Graph: Tracing Ontology Design Decisions
Build an ontology with an agentic skill, capture every modeling choice as a context graph, and query the reasoning behind the model.
Resources mentioned
GenAI & GraphRAGKnowledge graphsData modeling & import


