Building Remote Sensing Applications Using Scientific Database and Semantic Web Technologies
Authors: 
M. Koubarakis
Authors: 
K. Kyzirakos
Authors: 
M. Karpathiotakis
Authors: 
C. Nikolaou
Authors: 
S. Vassos
Authors: 
G. Garbis
Authors: 
M. Sioutis
Authors: 
K. Bereta
Authors: 
C. Kontoes
Authors: 
I. Papoutsis
Authors: 
T. Herekakis
Authors: 
D. Michail
Authors: 
S. Manegold
Authors: 
M. Kersten
Authors: 
M. Ivanova
Authors: 
H. Pirk
Authors: 
Y. Zhang
Authors: 
M. Datcu
Authors: 
G. Schwarz
Authors: 
O. C. Dumitru
Authors: 
D. E. Molina
Authors: 
K. Molch
Authors: 
U. D. Giammatteo
Authors: 
M. Sagona
Authors: 
S. Perelli
Authors: 
T. Reitz
Authors: 
E. Klien
Authors: 
R. Gregor
Date published: 
2012
Published In: 
In the Image Information Mining Conference: Knowledge Discovery from Earth Observation Data (ESA-EUSC-JRC 2012). October 24-26, 2012. Oberpfaffenhofen, Germany
Type: 
Conference Article
Abstract: 
TELEIOS is a recent European project that addresses the need for scalable access to petabytes of Earth Observation data and the discovery of knowledge that is hidden in them. TELEIOS builds on scientific database technologies (array databases, SciQL, data vaults) and Semantic Web technologies (stRDF and stSPARQL) implemented on top of a state of the art column store database system (MonetDB). In this paper we outlinethe gains that Earth Observation organizations can have from these technologies by presenting a detailed example of a fire monitoring service that we have completed.
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