Raw connectivity structured into organized knowledge through semantic graphs.
Variables → Network → Graph → Information → Intelligence → Knowledge → Wisdom
A network is raw connectivity. Entities linked without context, often appearing as chaotic "hairballs" with little insight.
A graph is a network enriched with semantics, types, and properties. Graph = Network + metadata (types, weights, directions).
By adding structure through ontologies like FIBO, we transform noise into queryable knowledge that can answer "who, what, when, where, why."
Neo4j NVL for production-grade graph visualization
React Three Fiber for 3D cosmic backgrounds
Local Neo4j Database
Custom ƒ(xyz) schema extensions
FIBO (Financial Industry Business Ontology)
RDF mapping via rdflib-neo4j
Living systems. Autonomous agents (Fixies) validate, cross-reference, and evolve knowledge through continuous feedback loops.
Humans and AI agents curate the graph. It self-regulates.