# Knowledge Graph
**Source:** https://glossary.keenfunnel.com/terms/knowledge-graph
**Language:** German

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## Technische Erklärung

Knowledge graphs commonly model facts as nodes and typed edges or subject–predicate–object statements. Identifiers, schemas or ontologies, provenance and entity resolution help combine data; graph query languages and reasoning can retrieve or infer connected information.

## Geschäftliche Relevanz

They connect fragmented data around shared entities, supporting search, recommendations, analytics, integration, traceability and context for AI systems.

## Implementierungsbeispiel

A company graph links customers, contracts, products, support cases and owners through stable identifiers so authorised teams can query relationships across source systems.

## Einschränkungen und häufige Missverständnisse

A graph is not automatically true or complete. Entity matching errors, stale relationships, weak provenance, access-control failures and poorly governed ontologies can propagate misleading results.

## Themen

Data Engineering Systemarchitektur KI-Governance Suchoptimierung

## Quellen

W3C — RDF 1.2 Concepts and Abstract Data Model — W3C — RDF 1.1 Primer — https://www.w3.org/TR/rdf11-primer/

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