Semantics refers to the meaning and relationships behind data, enabling systems to understand not just individual terms but how they connect. Without semantics, data remains fragmented and difficult to interpret, even if it is well structured. By applying semantic models, organizations can define concepts, relationships, and context, such as linking entities like animals, appointments, or attributes through meaningful connections. This approach improves data consistency, clarity, and usability, supporting better integration, search, and analysis. Ultimately, semantics is essential for building effective data strategies, enabling smarter systems, and ensuring that information can be accurately understood and leveraged across an organization.

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