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Spatio-Temporal Data Types: An Approach to Modeling and Querying Moving Objects in Databases *
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@MISC{Iv_spatio-temporaldata,
author = {Praktische Informatik Iv and Fernuniversität Hagen and Martin Erwig and Ralf Hartmut Güting and Markus Schneider and Michalis Vazirgiannis},
title = {Spatio-Temporal Data Types: An Approach to Modeling and Querying Moving Objects in Databases *},
year = {}
}
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Abstract
Abstract: 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 three-dimensional (2D 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 spatiotemporal algebras.
Keyphrases
spatio-temporal data type querying moving object abstract data type spatiotemporal algebra similarly fundamental role region abstraction higher-dimensional entity extensible dbms dbms data model basic abstraction spatial database new line spatial data type discrete step specific design spatio-temporal database data type space time data blade several fundamental issue spatio-temporal database deal
