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Introduction The semantic model of database design is one method of modeling user data and requirements. It has both similarities to and differences from the entity relationship model. However, the semantic model may ultimately provide more effective and robust database systems, which are easier for users to conceptualize, and are easier for developers to normalize. The semantic model, though used less frequently, can be an extremely efficient way of modeling our business data. Similarities Both the semantic model and the entity relationship model are methods of documenting and analyzing users’ requirements, and converting those requirements into a database the users can navigate easily through, one which provides forms, reports and queries so that users can track entities important to their work. Once the need for a database system has been decided, the developer determines, along with the users, the “things” to be represented by the database. The developer also specifies characteristics of those “things”, and establishes relationships among them. In the semantic model of design, those “things” are called semantic objects. Semantic objects are similar to entities in the entit