Christian Düntgen

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This document presents a method to design scalable and representative moving object data (MOD) and two sets of queries for benchmarking spatio-temporal DBMS. Instead of programming a dedicated generator software, we use the existing Secondo DBMS to create benchmark data. The benchmark is based on a simulation scenario, where the positions of a sample of(More)
Databases supporting time dependent and continuously changing geometries, called moving objects databases, have been studied for about 15 years. The field has been flourishing and there exist many hundreds, more likely thousands, of publications. However, very few of these results have made it into systems (research prototypes or commercial) and are(More)
Traditional indexing techniques are not well suited for complex data types such as spatial, spatio-temporal, and multimedia data types, where an instance is a composite of multiple components. In this paper we propose two indexing techniques that allow the parts of a composite object to be indexed separately, called multiple entry indexing and double(More)
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