基于er的时间数据模型的时间代数

Jae Young Lee, R. Elmasri
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引用次数: 4

摘要

文献中提出了许多时间数据模型。其中大多数是基于关系模型的。尽管它们作为信息系统的设计和分析工具很受欢迎,但基于实体-关系(ER)的时态数据模型并没有像基于关系模型的时态数据模型那样引起那么多的关注。原因之一是大多数基于er的时态数据模型缺乏底层的形式化和代数。如果概念模型和代数是正式定义的,那么我们可以设计一种对概念模型而不是对实现模型进行操作的查询语言。此外,它还可以为用户友好的可视化查询语言提供基础。在本文中,我们提出了一个基于er的时间数据模型的时间代数,称为ITDM(集成时间数据模型)。我们定义了十种代数运算和十种时间聚合运算。我们还定义了特定于时间序列的操作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A temporal algebra for an ER-based temporal data model
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.
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