Title :
Modeling Trajectories: A Spatio-Temporal Data Type Approach
Author :
Frihida, Ali ; Zheni, Donia ; Ben Ghezala, Henda ; Claramunt, Christophe
Author_Institution :
Ecole Nat. d´´Ing. de Tunis, Univ. Tunis El Manar, Tunis, Tunisia
fDate :
Aug. 31 2009-Sept. 4 2009
Abstract :
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.
Keywords :
abstract data types; temporal databases; visual databases; abstract data type; algebraic spatio-temporal trajectory data type approach; conceptual framework; data structure; human behavior; object trajectory representation; semantic model; spatio-temporal database; sui generis data type; time geography; trajectory analysis; trajectory data interpretation; trajectory modeling; trajectory retrieval; Data structures; Database systems; Expert systems; Geographic Information Systems; Geography; History; Humans; Information retrieval; Spatial databases; Spatiotemporal phenomena; Time Geography; abstract data type modeling; moving objects databases; spatio-temporal databases; spatio-temporal trajectory modeling; temporal GIS;
Conference_Titel :
Database and Expert Systems Application, 2009. DEXA '09. 20th International Workshop on
Conference_Location :
Linz
Print_ISBN :
978-0-7695-3763-4
DOI :
10.1109/DEXA.2009.70