TRAJECTORY SEMANTIC VISUALIZATION

Stanimir Bakshev, Laura Spinsanti, Jose Antonio Fernandes de Macedo, Creto Vidal, Marco Antonio Casanova

Abstract

Thanks to current GPS technologies, the capture of evolving positions of individual moving objects has become technically and economically feasible. This opens new perspectives for a large number of applications (from transportation and logistics to ecology and anthropology) built on the knowledge of objects’ movements. The goal of this work is to propose a framework that supports querying and visualization of trajectory data. Trajectory data and its semantic context are modeled by the means of an application ontology, which allows the user to elaborate semantic queries. Results are rendered using an automatic matching procedure that allows the user to change the actual visualization of the data.

References

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Paper Citation


in Harvard Style

Bakshev S., Spinsanti L., Antonio Fernandes de Macedo J., Vidal C. and Antonio Casanova M. (2011). TRAJECTORY SEMANTIC VISUALIZATION . In Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-8425-53-9, pages 326-332. DOI: 10.5220/0003565603260332


in Bibtex Style

@conference{iceis11,
author={Stanimir Bakshev and Laura Spinsanti and Jose Antonio Fernandes de Macedo and Creto Vidal and Marco Antonio Casanova},
title={TRAJECTORY SEMANTIC VISUALIZATION},
booktitle={Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2011},
pages={326-332},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003565603260332},
isbn={978-989-8425-53-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - TRAJECTORY SEMANTIC VISUALIZATION
SN - 978-989-8425-53-9
AU - Bakshev S.
AU - Spinsanti L.
AU - Antonio Fernandes de Macedo J.
AU - Vidal C.
AU - Antonio Casanova M.
PY - 2011
SP - 326
EP - 332
DO - 10.5220/0003565603260332