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Management of Large Moving Objects Databases: Indexing, Benchmarking and Uncertainty in Movement Representation
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Author(s): Talel Abdessalem (Ecole Nationale Superieure des Telecommunications, France), Cédric du Mouza (Conservatoire National des Arts et Metiers, France), José Moreira (Universidade de Aveiro, Portugal)and Philippe Rigaux (University of Paris Sud, France)
Copyright: 2005
Pages: 26
Source title:
Spatial Databases: Technologies, Techniques and Trends
Source Author(s)/Editor(s): Yannis Manalopoulos (Aristotle University of Thessaloniki, Greece), Apostolos Papadopoulos (Aristotle University of Thessaloniki, Greece)and Michael Gr. Vassilakopoulos (Technological Educational Institute of Thessaloniki, Greece)
DOI: 10.4018/978-1-59140-387-6.ch010
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Abstract
This chapter deals with several important issues pertaining to the management of moving objects datasets in databases. The design of representative benchmarks is closely related to the formal characterization of the properties (that is, distribution, speed, nature of movement) of these datasets; uncertainty is another important aspect that conditions the accuracy of the representation and therefore the confidence in query results; finally, efficient index structures, along with their compatibility with existing softwares, is a crucial requirement for spatio-temporal databases, as it is for any other kind of data.
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