AI Communication Glossary

Knowledge Graph

A structured map of entities (people, places, organizations, concepts) and the relationships between them, used by AI systems to understand context beyond keywords.

Also known as: entity graph, semantic graph

A knowledge graph is a structured representation of real-world entities and the semantic relationships between them. It answers not just what things are but how they relate: this person is the founder of that organization, this concept is a subset of that topic, this product belongs to that category. AI systems, search engines, and retrieval pipelines use knowledge graphs to reason about meaning and context. For websites, building a knowledge graph means defining entities clearly through schema markup, consistent naming, glossaries, and structured internal linking.

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Related Terms

  • Structured Data — Information organized in a consistent, machine-readable format that AI systems can parse reliably without inferring meaning from visual layout or prose.
  • Schema Markup — Structured data using Schema.org vocabulary, usually expressed as JSON-LD, that tells AI systems and search engines what type of content a webpage is and what it contains.