A knowledge graph is a database of real-world entities and their relationships, used by search engines and answer engines to disambiguate names and attach content to the right entity.
A knowledge graph is a database of real-world entities and their relationships, used by search engines and answer engines to disambiguate names and attach content to the right entity.
Google's 2012 Knowledge Graph announcement introduced the "things, not strings" framing. Wikidata plays a parallel open role.
A knowledge graph is a database of real-world entities — people, places, organizations, works — and the relationships between them, used by search engines and answer engines to disambiguate names and attach content to the right entity instead of a matching string.
Build an entity graph for your business by publishing a schema.org Organization node with a stable @id and a sameAs array linking to authoritative external profiles — Wikipedia, Wikidata, LinkedIn, Crunchbase, official social accounts — then referencing that same @id from every Article, QAPage, and Person node on the site.