conversion demo
This example artifact shows the graph pattern without exposing proprietary ontology weights, private entity maps, hidden prompts, or internal orchestration logic.
From schema to structure
Ontology-to-Graph Translation
Ontology-to-graph translation converts classes, properties, and constraints into nodes, edges, and queryable relationship patterns.
Translation is where conceptual models become infrastructure: traversable, testable, visual, and ready for graph-native reasoning.
relationship model
Classes become typed node families.
Object properties become semantic edge definitions.
Constraints become validation and traversal rules.
operational artifacts
What this layer makes inspectable.
mapping table
This example artifact shows the graph pattern without exposing proprietary ontology weights, private entity maps, hidden prompts, or internal orchestration logic.
example graph output
This example artifact shows the graph pattern without exposing proprietary ontology weights, private entity maps, hidden prompts, or internal orchestration logic.
semantic playground
Translate example text into graph-native structure.
input
A public transit hub connects a microgrid, emergency services, water sensors, and maintenance teams through shared incident reports.
graph-native ontology model
{
"domain": "City Infrastructure",
"provenance": "synthetic/example",
"extracted": [
{
"entity": "Transit Hub",
"type": "System",
"attribute": "operational-node",
"relationship": "connects_to",
"target": "Microgrid",
"confidence": 0.74
},
{
"entity": "Microgrid",
"type": "System",
"attribute": "context-node",
"relationship": "reports_to",
"target": "Emergency Services",
"confidence": 0.775
},
{
"entity": "Emergency Services",
"type": "Organization",
"attribute": "operational-node",
"relationship": "depends_on",
"target": "Water Sensors",
"confidence": 0.81
},
{
"entity": "Water Sensors",
"type": "System",
"attribute": "context-node",
"relationship": "monitors",
"target": "Maintenance Team",
"confidence": 0.845
},
{
"entity": "Maintenance Team",
"type": "Organization",
"attribute": "operational-node",
"relationship": "dispatches",
"target": "Transit Hub",
"confidence": 0.88
}
]
}Transit Hub
74%
connects_to
Microgrid
System / operational-node
Microgrid
78%
reports_to
Emergency Services
System / context-node
Emergency Services
81%
depends_on
Water Sensors
Organization / operational-node
Water Sensors
85%
monitors
Maintenance Team
System / context-node
Maintenance Team
88%
dispatches
Transit Hub
Organization / operational-node
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.