Knowledge Graph
A knowledge graph is a structured representation of knowledge that uses a graph data model to connect entities (nodes) with relationships (edges) and attributes (properties). It organizes information in a way that machines can understand and reason about, enabling semantic search, data integration, and intelligent applications. Knowledge graphs are foundational for technologies like semantic web, recommendation systems, and AI-driven analytics.
Developers should learn about knowledge graphs when building applications that require advanced data integration, semantic understanding, or AI capabilities, such as in natural language processing, enterprise data management, or personalized recommendations. They are particularly useful in scenarios involving heterogeneous data sources, where relationships between entities need to be explicitly modeled for tasks like fraud detection, drug discovery, or content curation.