Knowledge Graphs
Knowledge graphs are structured representations of knowledge that model entities, their attributes, and the relationships between them using a graph-based data model. They enable semantic understanding and reasoning by connecting data points in a way that mimics human cognition, often using standards like RDF (Resource Description Framework) and OWL (Web Ontology Language). This technology is widely used in applications such as search engines, recommendation systems, and artificial intelligence to enhance data interoperability and insight generation.
Developers should learn knowledge graphs when building systems that require complex data integration, semantic search, or AI-driven reasoning, such as in natural language processing, fraud detection, or personalized content delivery. They are particularly valuable in domains like healthcare, finance, and e-commerce, where understanding relationships between disparate data sources is crucial for deriving actionable insights and improving user experiences.