KGMID SEO

KGMID and Knowledge Graph: a glossary

Semantic distance

What is Semantic distance?

Semantic distance is how far apart in meaning a query and a piece of content are, and reducing it makes content more likely to be retrieved for that query.

Who uses the term Semantic distance?

Semantic distance comes from information retrieval and computational linguistics, where it describes measurable similarity in a vector space.

In SEO it is used by semantic and topical authority practitioners.

Keyword matching asks whether the words are the same. Semantic distance asks whether the meanings are close, which is why paraphrases can retrieve.

Topical authority is about breadth across a subject. Semantic distance is about proximity on a single query.

What does KGMID SEO: Claim Your Entity Before Google Defines It for You say about Semantic distance?

Chapter 21 treats reducing semantic distance as the practical work that follows from having a topical map, moving from broad topics to specific contexts so the content sits close to the questions people actually ask, rather than close to the words they happen to use.

Read about the book's argument.

Related terms

  • Topical map

    A topical map is a planned structure of the subjects a site covers and how they relate, used to establish what an entity knows about rather than merely who it is.

  • Entity resolution

    Entity resolution is the process by which a system decides which known entity a given mention refers to, rather than treating the name as just a string of text.

  • Corroboration

    Corroboration is agreement between independent sources on the same claim about an entity, and it is what promotes a claim into a fact the Knowledge Graph will hold.