A knowledge graph, also known as a semantic network or connected data model, represents a network of real-world entities, made up of nodes, edges and labels, and illustrates the relationships between them - visualized as a graph structure. Imagine a smart map that connects pieces of information together, and shows how things are related. By doing so, we can find unique connections and new insights, which makes it easier to answer complex questions, and provide helpful recommendations.
Why it matters: Mapping relationships between entities uncovers hidden insights, improves recommendations, and supports complex queries.
