A. Malhotra, H.M. Markowitz, et al.
ACM Transactions on Database Systems (TODS)
A technique for specifying universal quantification and existential quantification (combined with negation) in a two-dimensional (graphical) database query language is proposed. Unlike other approaches that provide set operators to simulate universal quantification, this technique allows a direct representation of universal quantification. The authors present syntactic constructs for specifying universal and existential quantifications, two-dimensional translation of universal quantification to existential quantification (with negation), and translation of existentially quantified two-dimensional queries to relational queries. The resulting relational queries can be processed directly by many existing database systems. Traditionally, universal quantification has been considered a difficult concept for typical database programmers. The authors claim that this technique renders universal quantification easy to understand. To substantiate this claim, they provide a simple, easy-to-follow guideline for constructing universally quantified queries. They believe that the direct representation of universal quantification in a two-dimensional language is new and that the technique contributes significantly to the understanding of universal quantification in the context of database query languages.
A. Malhotra, H.M. Markowitz, et al.
ACM Transactions on Database Systems (TODS)
Kyu-Young Whang, Stephen Brady, et al.
Expert Systems in Government Symposium 1985
Kyu-Young Whang
ICDE 1989
Philip S. Yu, Daniel M. Dias
ICDE 1990