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A temporal algebra for an ER-based temporal data model

机译:基于ER的时态数据模型的时态代数

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There have been many temporal data models proposed in the literature. Most of them are based on relational models. Despite their popularity as design and analysis tools for information systems, entity-relationship (ER) based temporal data models have not drawn as much attention as those based on relational models. One reason is that most ER-based temporal data models lack an underlying formalism and algebra. If a conceptual model, along with an algebra, is formally defined, we can design a query language that operates on the conceptual model rather than on the implementation model. Also, it can provide a basis for a user-friendly visual query language. In this paper, we present a temporal algebra for an ER-based temporal data model called ITDM (Integrated Temporal Data Model). We define ten algebraic operations and ten temporal aggregate operations. We also define time-series-specific operations.
机译:文献中提出了许多时间数据模型。它们大多数基于关系模型。尽管它们作为信息系统的设计和分析工具非常受欢迎,但基于实体关系(ER)的时间数据模型并未像基于关系模型的时间模型那样引起人们的广泛关注。原因之一是大多数基于ER的时态数据模型都缺乏底层的形式主义和代数。如果正式定义了概念模型和代数,我们可以设计一种在概念模型而不是实现模型上运行的查询语言。而且,它可以为用户友好的视觉查询语言提供基础。在本文中,我们为称为ERDM的基于ER的时态数据模型提供了时态代数。我们定义了十个代数运算和十个时间合计运算。我们还定义了特定于时间序列的操作。

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