A knowledge graph is a semantic network that models entities (such as people, places, things) and their relationships in the form of nodes and edges.
It enables the structured representation of knowledge, allowing complex queries about connections and properties.
Knowledge graphs often use ontologies or vocabularies to define the meaning of nodes and edges, for example RDF (Resource Description Framework) or OWL (Web Ontology Language).
By linking data from various sources, a connected knowledge model is created that supports machine understanding and automated reasoning.
Typical applications include knowledge management, semantic search, and intelligent assistance systems.