Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. A mental model captures ideas in a problem domain, while a conceptual model represents 'concepts' (entities) and relationships between them. Conceptual modelling is a well known technique of data modelling, together with logical modelling and physical modelling. The conceptual model is explicitly chosen to be independent of implementation details, such as concurrency or data storage. The aim of conceptual model is to express the meaning of terms and concepts used by domain experts to discuss the problem, and to find the correct relationships between different concepts. This is also called semantic model. The conceptual model attempts to clarify the meaning of various usually ambiguous terms, and ensure that problems with different interpretations of the terms and concepts cannot occur. Such differing interpretations could easily cause the software projects that are based on the interpretation of the concepts to fail. Once the domain concepts have been modelled, the model becomes a stable basis for subsequent development of applications in the domain.

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