Abstract
In many non trivial application domains, object types with a complex structure occur. Data modelling techniques which only allow flat structures are not suitable for representing such complex object types. In this paper a general data modelling technique, the Predicator Set Model, is introduced, which is capable of representing complex structures in a natural way. The expressiveness of the Predicator Set Model is illustrated by means of a number of examples. In those examples, the Predicator Set Model's expressiveness is related to the expressiveness of more traditional modelling techniques. Furthermore, some notational conventions are defined, which enable a more compact representation of complex structures.
Cite
CITATION STYLE
ter Hofstede, A. H. M., Proper, H. A., & van der Weide, T. P. (1992). Data modelling in complex application domains. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 593 LNCS, pp. 364–377). Springer Verlag. https://doi.org/10.1007/BFb0035142
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.