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Knowledge Graph (Google)

The Knowledge Graph is a knowledge base from which Google serves relevant information in an infobox beside its search results. This allows the user to see the answer in a glance, as an instant answer. The data is generated automatically from a variety of sources, covering places, people, businesses, and more.

History, Criticism & Overview

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Knowledge Graph (Google). Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

History

Criticism

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Knowledge Graph (Google)

Nodes40
Edges39
Triples9
Avg. degree1.95
Density0.05
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

knowledge google graph information wikipedia search billion facts also sources reported data entities 2014 engine panel automatically google's searches may

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
individualsinstance ofpresents an overview of entities0.80text
organizationsinstance ofpresents an overview of entities0.80text
locationsinstance ofpresents an overview of entities0.80text
or objects directly within the search interfaceinstance ofpresents an overview of entities0.80text
Mosesinstance ofIt had been noted in 2014 that while there was a Knowledge Graph for most major historical or pseudo-historical religious figures0.80text
Muhammadinstance ofIt had been noted in 2014 that while there was a Knowledge Graph for most major historical or pseudo-historical religious figures0.80text
Gautama Buddhainstance ofIt had been noted in 2014 that while there was a Knowledge Graph for most major historical or pseudo-historical religious figures0.80text
there was none for Jesusinstance ofIt had been noted in 2014 that while there was a Knowledge Graph for most major historical or pseudo-historical religious figures0.80text
the central figure of Christianityinstance ofIt had been noted in 2014 that while there was a Knowledge Graph for most major historical or pseudo-historical religious figures0.80text

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.