Data Base Support for Expert Systems (Computer and Information Science)

专家系统的数据库支持（计算机和信息科学）

• 批准号: 8504633
• 负责人: Michael Stonebraker
• 金额: $ 28.79万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1985
• 资助国家: 美国
• 起止时间: 1985-09-01 至 1989-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8504633&HistoricalAwards=false
• 关键词: Data; Base; Support; Expert; Systems

This research suggests enhancements to relational database systems which will allow them to effectively support expert system applications with a large knowledge base and/or database. The basic premise of this research is that relational database systems (with some modest extensions) may offer superior performance and ease of expert system constructions in some applications. These applications are characterized by a very large knowledge base or database. The study investigates extensions to relational database systems which will facilitate their application in such environments. Research is performed on how to optimize such an extended relational system so it will be able to offer superior performance compared to other programming environments in which one might construct large expert systems.

这项研究建议增强关系数据库系统 这将使他们能够有效地支持专家系统应用程序， 具有大的知识库和/或数据库。 这个基本前提是 研究表明，关系数据库系统（具有一些适度的 扩展）可以提供上级性能和专家系统的易用性 在某些应用中。 这些应用 其特征在于非常大的知识库或数据库。 研究 研究关系数据库系统的扩展， 在这样的环境中应用。 研究是 如何优化这样一个扩展的关系系统， 将能够提供上级性能， 编程环境中，人们可以构建大型专家 系统.