An ontology serves as a shared context layer within data platforms that formalizes enterprise meaning by defining entity types, their properties, and inter-relational semantics via knowledge graphs. This theoretical framework bridges the gap between raw transactional or analytical datasets and semantic understanding, enabling both human agents and AI systems to reason over complex relationships without hallucination. The concept belongs to the domain of Data Engineering and Artificial Intelligence, functioning as a foundational mechanism for aligning structured data with cognitive reasoning capabilities in enterprise environments.
An ontology serves as a shared context layer within data platforms that formalizes enterprise meaning by defining entity types, their properties, and inter-relational semantics via knowledge graphs. …