Many-Dimensional Schema Modeling

Large database schemata can be drastically simplified if techniques of modular and structural modeling are used. Applications and thus schemata have an inner meta-structure. The explicit treatment of the inner structuring may be used during development of large database schemata and may ease the development to a large extent. It is surprising that dimensions and internal separations have not been considered yet also they are very natural and easy to capture. This paper develops an approach to explicit treatment of the inherent many-dimensional structuring on the basis of dimensions such as the kernel dimension, the association dimension, the log dimension, the meta-characterization dimension, and the lifespan dimension.