Knowledge Graph

A structured network of entities and the typed relationships between them, letting machines reason over facts rather than parse prose.

The agentic web is a knowledge graph in the making; JSON-LD and consistent entity signals are how a site becomes a node engines can cite, not just crawl.

term
Knowledge Graph
category
optimization
short_def
A structured network of entities and the typed relationships between them, letting machines reason over facts rather than parse prose.
long_def
A knowledge graph stores facts as connected entities (nodes) and relationships (edges) — 'x402 is-created-by Coinbase', 'MCP is-a protocol'. Search and answer engines use knowledge graphs to disambiguate entities and answer directly, which is why consistent, structured entity data (JSON-LD, sameAs) helps a site be understood as an entity, not just indexed as pages.
see_also
json-ld eav-model grounding
etymology_origin
— verify-against-primary-at-build ↗ https://en.wikipedia.org/wiki/Knowledge_graph — popularized by Google's Knowledge Graph (2012); concept older
related_to
json-ld eav-model agentic-seo grounding
contrast_with
Unlike a document index that stores pages of text, a knowledge graph stores entities and their relationships, so a machine can answer 'who created x402' without reading a page.
example
Google's Knowledge Graph is what powers the entity panel beside a search result; the same idea lets an AI engine attribute a fact to the right entity.
source
https://en.wikipedia.org/wiki/Knowledge_graph
status
active
why_it_matters
The agentic web is a knowledge graph in the making; JSON-LD and consistent entity signals are how a site becomes a node engines can cite, not just crawl.
sameAs
https://en.wikipedia.org/wiki/Knowledge_graph
bridge_entity
json-ld
last_verified
2026-07-06
md_twin
/glossary/knowledge-graph.md

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