A Unifying Framework for Conceptual Data Modelling Concepts a Unifying Framework for Conceptual Data Modelling Concepts
نویسنده
چکیده
For succesful information systems development, conceptual data modelling is essential. Nowadays many techniques for conceptual data modelling exist, examples are NIAM, FORM, PSM, many (E)ER variants, IFO, and FDM. In-depth comparisons of concepts of these techniques is very diicult as the mathematical formalisations of these techniques, if existing at all, are very diierent. As such there is a need for a unifying formal framework providing a suuciently high level of abstraction. In this paper the use of category theory for this purpose is addressed. Well-known conceptual data modelling concepts are discussed from a category theoretic point of view. Advantages and disadvantages of the approach chosen will be outlined.
منابع مشابه
A unifying framework for conceptual data modelling concepts
For succesful information systems development, conceptual data modelling is essential. Nowadays many techniques for conceptual data modelling exist, examples are NIAM, FORM, PSM, many (E)ER variants, IFO, and FDM. In-depth comparisons of concepts of these techniques is very diicult as the mathematical formalisations of these techniques, if existing at all, are very diierent. As such there is a ...
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