{
  "dataset": "glossary",
  "record": {
    "id": "knowledge-graph",
    "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": {
      "value": null,
      "verify_status": "verify-against-primary-at-build",
      "source_hint": "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"
  }
}