Ontologies Define Shared Graph Meaning
An ontology declares concepts, relations, constraints, and sometimes inference rules for a domain. It should be as small as the decisions it must support and evolve under version control.
0
1
Contributors are:
Tags
AI Agent Graph Engineering
Graph Engineering for AI Agents
Related
Authorization Can Be Evaluated as a Graph
Causal Graphs Assert More Than Association
Graph Neural Networks Learn From Neighborhood Structure
Hybrid Retrieval Combines Lexical, Vector, and Graph Signals
In this situation—distinguishing authored, cites, contradicts, and supersedes links—which choice best applies “Relations Need Declared Semantics”?
Relation-Aware Retrieval Traversal
Triples Express Atomic Graph Claims
Blackboard Coordination Uses Shared Artifacts
Checkpoints Make Runs Resumable
Constraint Graphs Narrow Feasible Assignments
Event-Driven Graphs React to Facts
Finite-State Agent Control
Graph State Needs Versioned Migration
In this situation—tracking query, evidence, confidence, approvals, and terminal status—which choice best applies “State Schemas Preserve Meaning Across Nodes”?
Related
Authorization Can Be Evaluated as a Graph
Causal Graphs Assert More Than Association
Graph Neural Networks Learn From Neighborhood Structure
Hybrid Retrieval Combines Lexical, Vector, and Graph Signals
In this situation—distinguishing authored, cites, contradicts, and supersedes links—which choice best applies “Relations Need Declared Semantics”?
Relation-Aware Retrieval Traversal
Triples Express Atomic Graph Claims
Blackboard Coordination Uses Shared Artifacts
Checkpoints Make Runs Resumable
Constraint Graphs Narrow Feasible Assignments
Event-Driven Graphs React to Facts
Finite-State Agent Control
Graph State Needs Versioned Migration
In this situation—tracking query, evidence, confidence, approvals, and terminal status—which choice best applies “State Schemas Preserve Meaning Across Nodes”?