Minimal Covering of Generalized Typed Inclusion Dependencies in Databases

IF 0.6 Q4 AUTOMATION & CONTROL SYSTEMS
S. V. Zykin
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引用次数: 0

Abstract

The theory and algorithms required to construct the minimal covering of generalized typed inclusion dependencies are discussed. Traditionally, the construction of the minimal covering is used for all types of dependencies in order to obtain a nonredundant and consistent database design. Generalized inclusion dependencies correspond to referential integrity constraints, when several main relations and several external relations are involved in one constraint, which corresponds to an ultragraph edge. A system of axioms with proof of consistency and completeness based on the study of dependency properties is presented in the previous study. In this study, closures for generalized typed inclusion dependencies are studied. An algorithm for constructing closures is developed. The correctness of the algorithm is proved. The results are further used to develop an algorithm for constructing the minimum covering. Examples that demonstrate the operation of the algorithms are presented at the end of the article.

数据库中广义类型包含依赖的最小覆盖
讨论了构造广义类型包含依赖的最小覆盖所需的理论和算法。传统上,最小覆盖的构造用于所有类型的依赖项,以获得非冗余和一致的数据库设计。广义包含依赖关系对应于参考完整性约束,当几个主要关系和几个外部关系涉及到一个约束时,它对应于一个超图边缘。在前人研究的基础上,提出了一个具有一致性和完备性证明的公理系统。在本研究中,研究了广义类型包含依赖的闭包。提出了一种构造闭包的算法。证明了该算法的正确性。研究结果进一步用于构造最小覆盖的算法。本文最后给出了演示算法操作的示例。
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来源期刊
AUTOMATIC CONTROL AND COMPUTER SCIENCES
AUTOMATIC CONTROL AND COMPUTER SCIENCES AUTOMATION & CONTROL SYSTEMS-
CiteScore
1.70
自引率
22.20%
发文量
47
期刊介绍: Automatic Control and Computer Sciences is a peer reviewed journal that publishes articles on• Control systems, cyber-physical system, real-time systems, robotics, smart sensors, embedded intelligence • Network information technologies, information security, statistical methods of data processing, distributed artificial intelligence, complex systems modeling, knowledge representation, processing and management • Signal and image processing, machine learning, machine perception, computer vision
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