Semantic modeling is a type of database model which is used to represent the relationships between business data and process within an organization. It is used to create a semantic layer that links the existing data and business process in an intuitive and meaningful way.
Semantic data modeling is a method of creating formal representations of the concepts and relationships using ontologies and semantic models. Ontologies and semantic models are used to define the concepts, classes, properties, and relationships, so that data can be represented and manipulated in ways that are meaningful and understandable to both humans and machines.
At its core, semantic modeling is about creating a framework that can accurately represent the data’s meaning, its main purpose is to improve the understanding of data within an organization. It is an approach of structuring a database with the purpose of communicating the meaning of its data to business users, by using a semantic layer to provide a more meaningful representation of the information stored in a database. This layer consists of objects that describe the data in an intuitive and understandable manner, which can be used to improve the accuracy of data analysis and to reduce the complexity of the database. It also allows business users to effectively understand the data and make well-informed decisions based on it.
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