Knowledge Graph

A Knowledge Graph (KG) is a semantic network: it models real-world entities (nodes) and their relationships (edges) to provide context and structure for machine reasoning.

Knowledge Graphs structure data as interconnected entities (nodes) and explicit relationships (edges), shifting data organization from 'strings to things' (Neo4j). This graph-based model enables systems to understand context, not just keywords. Major applications include Google’s Knowledge Graph (over 500 million objects) for enhanced search results and enterprise use cases like AI-powered recommendation engines (Netflix) and financial crime prevention (KYC/AML). KGs integrate disparate datasets, providing a unified, explainable knowledge base critical for advanced AI and data analytics.

https://www.ibm.com/topics/knowledge-graph