DocumentCode :
242913
Title :
Using Ontologies for Proposing Adequate Geovisual Analytics Solutions in the Analysis of Trajectories
Author :
Vatin, Gabriel ; Napoli, Antonio
Author_Institution :
CRC - Centre for Res. on Risks & Crises, MINES ParisTech, Sophia Antipolis, France
fYear :
2014
fDate :
16-18 July 2014
Firstpage :
176
Lastpage :
182
Abstract :
This paper presents an original approach for supporting the use of geovisual analytics solutions. Many models have been proposed to characterize information visualization methods, but few have been integrated to an intelligent process for supporting user in geo-information usage. Moreover, several new solutions are continuously proposed by research, but few of them are really used in operational world. For instance, the maritime surveillance systems could gain much more identification capabilities of ship behaviors with adequate geovisual analytics solutions. Therefore, we investigated the use of geovisual methods for the analysis of mobility data, such as ship trajectories. We propose a knowledge-based system using ontologies and rules. These allow modeling the domain of geovisual analytics solutions, and their capacities in the exploration and the analysis of trajectories. This system would be used to support users in geovisual analytics of movement, based on their context of use.
Keywords :
data visualisation; geographic information systems; knowledge based systems; ontologies (artificial intelligence); geo-information usage; geovisual analytics solution; information visualization; knowledge-based system; mobility data; ontologies; ship trajectory; trajectory analysis; Analytical models; Context; Data models; Data visualization; Marine vehicles; Ontologies; Visualization; analysis support; geovisual analytics; maritime domain awareness; ontologies; rules;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Visualisation (IV), 2014 18th International Conference on
Conference_Location :
Paris
ISSN :
1550-6037
Type :
conf
DOI :
10.1109/IV.2014.26
Filename :
6902900
Link To Document :
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