Knowledge Graph
Definition
A knowledge graph links uniquely identified things and their relationships into a structured network.
A graph representation of entities, relationships, and often schema information with stable identities and provenance.
Simply explained
Imagine a network of things and labeled connections: A product contains a component, and this comes from a supplier.
Why it matters in practice
The term improves reliable access to data and knowledge as well as their usable linkage in digital systems.
Example from business
A manufacturer connects products, components, suppliers, and certificates with sources and validity.
Limits and pitfalls
- A graph guarantees neither truth nor ontology consistency; identities, sources, rights, and updates require governance.
Origin & history
The term was popularized from 2012 by large web knowledge systems but builds on semantic nets and RDF.
Use in mid-sized companies
- Possible example: A manufacturer connects products, components, suppliers, and certificates with sources and validity.
Frequently asked questions
What does knowledge graph mean?
A graph representation of entities, relationships, and often schema information with stable identities and provenance. What should you watch out for? A graph guarantees neither truth nor ontology consistency; identities, sources, rights, and updates require governance.
Sources
- RDF 1.1 Concepts · W3C, RDF 1.1 Concepts
Source checked on 10.10.2026. Editorial application examples are hypothetical; no evidence of real customer results.
Editorially reviewed on: