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: 
O. C. Dumitru
Authors: 
D. E. Molina
Authors: 
K. Molch
Authors: 
G. Schwarz
Authors: 
M. Datcu
Date published: 
2012
Published In: 
In the 11th International Conference on Ontologies, DataBases, and Applications of Semantics (ODBASE 2012). September 11-12, 2012. Roma, Italy
Type: 
Conference Article
Abstract: 
Advances in remote sensing technologies have allowed us to send an ever-increasing number of satellites in orbit around Earth. As a result, satellite image archives have been constantly increasing in size in the last few years (now reaching petabyte sizes), and have become a valuable source of information for many science and application domains (environment, oceanography, geology, archaeology, security, etc.). 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 scienti c databases, linked geospatial data, ontologies and techniques
for discovering knowledge from satellite images and auxiliary data sets. In this paper we outline the vision of TELEIOS (now in its second year), and give details of its original contributions on knowledge discovery from satellite images and auxiliary datasets, ontologies, and linked geospatial data.
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