Knowledge graphs are powerful data structures that represent information in a network of entities and their interrelationships. Unlike traditional databases, knowledge graphs capture the semantics of data, enabling machines to understand context and infer new knowledge. They consist of nodes (entities) and edges (relationships), often enriched with attributes and metadata.
Widely used in search engines, recommendation systems, and AI applications, knowledge graphs improve data integration, discovery, and reasoning. Companies like Google and Facebook leverage knowledge graphs to enhance user experience by providing more relevant and connected information. As AI continues to evolve, knowledge graphs play a crucial role in enabling intelligent systems to process complex, interconnected data effectively.
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