class-to-node alignment matrix
This example artifact shows the graph pattern without exposing proprietary ontology weights, private entity maps, hidden prompts, or internal orchestration logic.
Ontology as topology
Graph-Native Ontology
A graph-native ontology treats meaning as a connected system of typed entities, semantic edges, context, and constraints.
Classes and schemas become operational when they can be traversed, queried, scored, and inspected as relationship systems.
relationship model
Entity types become nodes with durable identity.
Properties carry context, provenance, and update history.
Semantic edges describe why two things belong in the same reasoning path.
operational artifacts
What this layer makes inspectable.
typed edge vocabulary
This example artifact shows the graph pattern without exposing proprietary ontology weights, private entity maps, hidden prompts, or internal orchestration logic.
example schema fragment
This example artifact shows the graph pattern without exposing proprietary ontology weights, private entity maps, hidden prompts, or internal orchestration logic.
developer posture
Patterns for implementation without leaking private systems.
Stable identifiers
Give entities durable IDs before adding inference. A graph that cannot distinguish identity from mention cannot safely reason over relationships.
Typed semantic edges
Use edge labels that are specific enough to constrain traversal. A vague connection is weaker than a typed relationship with provenance.
Inspectable outputs
Show entities, types, attributes, relationships, edge labels, confidence, provenance, and inferred links as separate fields.
reusable graph explorer
Inspect, adapt, report, and embed ontology graphs from one shared package.
GraphOntology.com is the public shell. Host apps keep ownership of their data, adapters, permissions, and runtime state while the explorer provides a consistent inspection surface.