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2009 20th International Workshop on Database and Expert Systems Application
Modeling Trajectories: A Spatio-Temporal Data Type Approach
Linz, Austria
August 31-September 04
ISBN: 978-0-7695-3763-4
Retrieving and analyzing trajectories favor the study of human behaviors in space and time. Although Time Geography has long proposed a conceptual framework for the interpretation of trajectory data, there is still a need for database and semantic models that support representation and manipulation. In fact, the concept of trajectory is rarely addressed as a sui generis data type that can be embedded in a database structure. This paper introduces an algebraic Spatio-Temporal Trajectory data type (STT) for the representation of object trajectory. The STT is an abstract data type endowed with a set of operations designed as a way to cover the syntax and semantics of a given trajectory. It is considered as a data structure that can be used for the design and implementation of spatio-temporal databases.
Index Terms:
abstract data type modeling, spatio-temporal trajectory modeling, spatio-temporal databases, moving objects databases, temporal GIS, Time Geography
Citation:
Ali Frihida, Donia Zheni, Henda Ben Ghezala, Christophe Claramunt, "Modeling Trajectories: A Spatio-Temporal Data Type Approach," dexa, pp.447-451, 2009 20th International Workshop on Database and Expert Systems Application, 2009
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