Semantic Modeling refers to the process of abstractly representing data and its relationships within a particular domain. It involves defining entities, their attributes, and the relationships between them to create a structured framework that enhances data understanding and interoperability. This approach is crucial in organizing complex data sets and is widely used in data analytics, AI, and knowledge management.
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