Symbolic trajectories is a novel data model recently proposed for the modeling and querying of temporally annotated sequences of symbolic descriptions, representing e.g. transportation means, places of interest, and so forth. Unlike geometric trajectories, symbolic trajectories capture the thematic dimension of movement. In this demonstration, we illustrate a practical approach to the querying of hybrid trajectories, combining the symbolic and geometric dimension in a multidimensional trajectory. The system runs on the Secondo moving object database. The multi-dimensional trajectories are obtained from the GeoLife dataset.

Hybrid queries over symbolic and spatial trajectories: a usage scenario / M.L. Damiani, H. Issa, R. Guting, F. Valdes - In: IEEE MDM 2014 : 15th International conference on mobile data management, 15-18 july, 2014,Brisbame, AustraliaPiscataway : IEEE Computer Society, 2014. - ISBN 9781479957057. - pp. 341-344 (( Intervento presentato al 15th. convegno IEEE International Conference on Mobile Data management tenutosi a Brisbane, Australia nel 2014 [10.1109/MDM.2014.49].

Hybrid queries over symbolic and spatial trajectories: a usage scenario

M.L. Damiani
Primo
;
H. Issa
Secondo
;
2014

Abstract

Symbolic trajectories is a novel data model recently proposed for the modeling and querying of temporally annotated sequences of symbolic descriptions, representing e.g. transportation means, places of interest, and so forth. Unlike geometric trajectories, symbolic trajectories capture the thematic dimension of movement. In this demonstration, we illustrate a practical approach to the querying of hybrid trajectories, combining the symbolic and geometric dimension in a multidimensional trajectory. The system runs on the Secondo moving object database. The multi-dimensional trajectories are obtained from the GeoLife dataset.
mobility data; patterns; Semantic trajectories
Settore INF/01 - Informatica
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2434/238215
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