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Abstract : |
The goal of this paper is to present a data model to manage highly variable spatio-temporal data of the real world. The management of such data raises new database problems. These problems are the data volume, the great number of states that database operators have to manipulate, as well as the deficiency of versions that leads to non-determinist temporal queries. To this end, a new approach to represent and to manipulate these data is proposed. The representation model consists in describing how a value evolves in the course of time. We associate semantics to this description. Concerning the manipulation, this descriptive representation is converted into an internal geometric representation. Queries on highly variable data are solved by using geometric algorithm techniques on the geometric representation. The paper reports on this ongoing experiment., |
