What is semantic modeling?

Semantic modeling is the process of creating structured representations of data that capture the meaning, relationships, and context of information within a specific domain. It involves defining entities, attributes, and the connections between them, often using ontologies or conceptual models. Semantic modeling is widely used in areas like knowledge graphs, data integration, and artificial intelligence to ensure that systems can interpret and use data accurately. By providing a common understanding of data, semantic models enable better interoperability, data quality, and decision-making across different applications.