Semantic data engineering for generalized databases

G. Nguyen
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引用次数: 5

Abstract

Current trends in database research emphasize the development of new tools for improved semantics definition and manipulation. It stresses the need for expert knowledge integration in database applications and distributed information usage. Of particular interest today is also the cooperation of artificial intelligence techniques and database technology. This paper presents a new method for database and knowledge base integrity control based on object-oriented concepts and on logic programming. It uses a novel technique for semantic integrity enforcement in database applications, based on the notions of object prototypes and database sample. A prototype is an incomplete object instance created dynamically in the database. It is representative of the family defined by an object declaration in the database schema. A database sample is a set of prototypes. It is used for the certification, i.e the control of the correctness, of all user operations concerning the definition and the modification of the database schema and the data.
通用数据库的语义数据工程
当前数据库研究的趋势强调开发新的工具来改进语义定义和操作。它强调了在数据库应用和分布式信息使用中对专家知识集成的需求。今天特别感兴趣的是人工智能技术和数据库技术的合作。本文提出了一种基于面向对象概念和逻辑程序设计的数据库和知识库完整性控制新方法。它基于对象原型和数据库样本的概念,在数据库应用程序中使用了一种新的语义完整性强制技术。原型是在数据库中动态创建的不完整对象实例。它代表了由数据库模式中的对象声明定义的族。数据库示例是一组原型。它用于认证,即控制与数据库模式和数据的定义和修改有关的所有用户操作的正确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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