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Making deductive databases a practical technology: a step forward

机译:使演绎数据库成为实用技术:向前迈出的一步

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Deductive databases provide a formal framework to study rule-based query languages that are extensions of first-order logic. However, deductive database languages and their current implementations do not seem appropriate for improving the development of real applications or even sample of them. Our goal is to make deductive database technology practical. The design and implementation of the RDL1 system, presented in this paper, constitute a step toward this goal. Our approach is based on the integration of a production rule language within a relational database system, the development of a rule-based programming environment and the support of system extensibility using Abstract Data Types. We discuss important practical experience gained during the implementation of the system. Also, comparisons with related work such as LDL, STARBURST and POSTGRES are given.

机译:演绎数据库提供了一个正式的框架,用于研究基于规则的查询语言,这些语言是一阶逻辑的扩展。但是,演绎性数据库语言及其当前实现似乎不适用于改进实际应用程序甚至样本的开发。我们的目标是使演绎数据库技术切实可行。本文介绍的RDL1系统的设计和实现,是朝着这个目标迈出的一步。我们的方法基于在关系数据库系统中集成生产规则语言,开发基于规则的编程环境以及使用抽象数据类型对系统可扩展性的支持。我们讨论在系统实施过程中获得的重要实践经验。此外,还与LDL,STARBURST和POSTGRES等相关工作进行了比较。

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