Glossary term 21 of 33
Knowledge graph
A structured store of entities and the relationships between them.
What does Knowledge graph mean?
A structured store of entities and the relationships between them. Where a search engine keeps what it believes about you, as opposed to what it has merely read about you.
Quoted without alteration from the glossary of ECHO: How to Make AI Recommend Your Brand.
Which ECHO pillar does Knowledge graph belong to?
Knowledge graph belongs to Entity, pillar 1 of the ECHO framework. Does the machine know who you are?
The first ECHO pillar, and the machine's unit of understanding. A single, identifiable real-world thing with attributes and relationships, as opposed to a website, which is a collection of pages.
If the machine does not know you exist, the problem is Entity. It is built in part 2: entity, across chapter 3 and chapter 4.
The digital property you own and control where every core fact about your business is stated clearly, structured for machine readability, and kept current.
Establishing which of several possible referents a name points to.
The first ECHO pillar, and the machine's unit of understanding.
The set of web pages and data points that reference a business, with the entity home at its centre.
The measurable degree of certainty a search or AI system assigns to the identity of your brand as a single, disambiguated, real-world entity, built from the consistency, structure and corroboration of the facts it can find about you across the sources it trusts.
The specific page from which search and AI systems learn your identity, attributes and values.
The public-facing surface of a knowledge graph entry.
Name, address, phone: the core identity data for a local business.
A schema.org property that links an entity's canonical page to its other identity points across the web.
Structured data added to a page in a vocabulary machines already parse, stating facts explicitly rather than leaving them to be inferred from prose.
Facts published in machine-readable form, so a system can extract them without interpretation.
Nearby in the glossary
The glossary runs alphabetically. Information gain comes before Knowledge graph and Knowledge panel after it.