Building Virtual Earth Observatories Using Ontologies, Linked Geospatial Data and Knowledge Discovery Algorithms
Authors: 
M. Koubarakis
Authors: 
M. Sioutis
Authors: 
K. Kyzirakos
Authors: 
M. Karpathiotakis
Authors: 
C. Nikolaou
Authors: 
S.Vassos
Authors: 
G. Garbis
Authors: 
K. Bereta
Authors: 
M. Datcu
Authors: 
G. Schwarz
Authors: 
O.C. Dumitru
Authors: 
D.E. Molina
Authors: 
K. Molch
Date published: 
2012
Published In: 
In the Image Information Mining Conference: Knowledge Discovery from Earth Observation Data (ESA-EUSC-JRC 2012). Oberpfaffenhofen, Germany. October 24-26
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 can be used in applications. To achieve this, TELEIOS builds on scientific databases, linked geospatial data, ontologies, and techniques for discovering knowledge from satellite images and auxiliary data sets. In this paper we outline the knowledge discovery framework of TELEIOS and discuss how it can be used together with ontologies and linked geospatial data for the development of a Virtual Earth Observatory for TerraSAR-X data.
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