GENERALIZED ORGANIZATION OF LARGE DATA BASES: A SET-THEORETIC APPROACH TO RELATIONS

Problems inherent in representation and manipulation of large data bases are discussed. Data management is considered as the manipulation of relationships among elements of a data base. A detailed analogy introduces concepts embodied in a data management system. Set theory is used to describe a model for data bases, and operations suitable for manipulation of relations are defined. The architecture chosen for an implementation of the model is illustrated, and a representation of data bases is suggested. A particular implementation, the GOLD STAR system, is investigated and evaluated. The framework outlined is meant to provide an environment in which complex data handling problems can be solved with relative ease. GOLD STAR provides the user with tools sufficient for manipulation of arbitrary complex data bases; these provisions are presented in the form of an extremely simple interface.