Spatio-Temporal Data Types: An Approach to Modeling and Querying Moving Objects in Databases

Spatio-Temporal Data Types: An Approach to Modeling and Querying Moving Objects in Databases
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DOI:
10.1023/a:1009805532638
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发表时间:
1999-09
期刊:
影响因子:
2
通讯作者:
Martin Erwig;R. H. Güting;Markus Schneider;M. Vazirgiannis
Martin Erwig;R. H. Güting;Markus Schneider;M. Vazirgiannis
中科院分区:
计算机科学4区
文献类型:
--
作者:
Martin Erwig;R. H. Güting;Markus Schneider;M. Vazirgiannis

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时空数据库处理随时间变化的几何形状。一般来说,几何形状不仅可以离散的步骤变化,而且可以连续变化,我们谈论的是移动的物体。如果只有物体在空间中的位置是相关的,那么移动点就是一个基本的抽象;如果对范围也感兴趣,则移动区域抽象捕获移动以及增长或收缩的区域。我们提出了一条新的研究路线,其中移动点和移动区域被视为 3D(2D 空间+时间)或更高维实体,其结构和行为通过将它们建模为抽象数据类型来捕获。这些类型可以作为基本(属性)数据类型集成到关系、面向对象或其他 DBMS 数据模型中;它们可以作为可扩展 DBMS 的数据刀片、盒式磁带等来实现。我们期望这些时空数据类型对于时空数据库发挥类似于空间数据类型对于空间数据库的基本作用。本文解释了该方法,并讨论了在深入研究时空代数的具体设计之前需要澄清的几个基本问​​题和与之相关的问题。
Spatio-temporal databases deal with geometries changing over time. In general, geometries cannot only change in discrete steps, but continuously, and we are talking about moving objects. If only the position in space of an object is relevant, then moving point is a basic abstraction; if also the extent is of interest, then the moving region abstraction captures moving as well as growing or shrinking regions. We propose a new line of research where moving points and moving regions are viewed as 3-D (2-D space+time) or higher-dimensional entities whose structure and behavior is captured by modeling them as abstract data types. Such types can be integrated as base (attribute) data types into relational, object-oriented, or other DBMS data models; they can be implemented as data blades, cartridges, etc. for extensible DBMSs. We expect these spatio-temporal data types to play a similarly fundamental role for spatio-temporal databases as spatial data types have played for spatial databases. The paper explains the approach and discusses several fundamental issues and questions related to it that need to be clarified before delving into specific designs of spatio- temporal algebras.