GraphOntologyrelationship intelligence layer

Category principles

GraphOntology Manifesto

The manifesto states the operating principles for graph-native meaning without vague claims or implementation jargon.

Intelligence does not live only in data. It lives in relationships that can be represented, traversed, explained, and improved.

relationship model

Relationship structure is part of meaning.

Explainable paths matter more than opaque association.

Public education should not disclose private entity maps or hidden orchestration logic.

operational artifacts

What this layer makes inspectable.

principles

This example artifact shows the graph pattern without exposing proprietary ontology weights, private entity maps, hidden prompts, or internal orchestration logic.

boundary commitments

This example artifact shows the graph pattern without exposing proprietary ontology weights, private entity maps, hidden prompts, or internal orchestration logic.

shareable operating posture

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.
Return to graph root

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.