Give organisational knowledge a structure that machines and people can both read.
What it is
Ontologies, taxonomies, knowledge graphs, evidence graphs, provenance models and organisational memory: the semantic layer that lets one fact appear in every context where it matters.
Why it matters
Without structure, knowledge is a pile of documents. With structure, a signal about a supplier appears in the value chain, the risk register, the ecosystem map and the inquiry that depends on it, automatically and with its provenance intact.
How AeonBridge approaches it
AeonBridge maintains a formal OWL ontology of key agents in productive ecosystems (v2.6, built on FOAF, ORG, PROV-O and OWL-Time, validated with SHACL), a closed relation vocabulary (regulates, supplies, serves, competes with, invests in, controls, trains human capital for, and others) and a provenance ontology for every instantiated instance. Extracted relations that fall outside the vocabulary are recorded as unsupported, never silently coerced. Provenance chains run Paragraph → Claim → Evidence → Source and Indicator → Observation → Source.
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