semantic data modeling

Semantic data modeling is a way of organizing information to capture the meaning and relationships between different pieces of data. It focuses on representing real-world concepts, like a person, a product, or an event, and how they connect—such as a customer purchasing a product or an employee working for a company. By emphasizing these meanings and connections, semantic modeling makes data more understandable, consistent, and easier to retrieve or analyze, especially in complex systems like databases or knowledge graphs. This approach helps ensure data accurately reflects the real-world context it represents.