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Journal article

Managing big, linked, and open earth-observation data: Using the TELEIOS\/LEO software stack

Abstract:

Big, open Earth Observation data that are currently made available by space agencies are not following the linked data paradigm. Therefore, from the perspective of a user, the Earth Observation data and other kinds of geospatial data necessary to satisfy his or her information need can only be found in different data silos, where each silo may contain only part of the needed data. Opening up these silos by publishing their contents as RDF and interlinking them with semantic connections allows...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/MGRS.2016.2530410

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
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Publisher:
Institute of Electrical and Electronics Engineer Publisher's website
Journal:
IEEE Geoscience and Remote Sensing Magazine Journal website
Volume:
4
Issue:
3
Pages:
23-37
Publication date:
2016-09-01
Acceptance date:
2016-01-29
DOI:
EISSN:
2473-2397
ISSN:
2168-6831
Source identifiers:
696748
Keywords:
Pubs id:
pubs:696748
UUID:
uuid:377dffa1-25f5-479b-8786-f68d2f559b7b
Local pid:
pubs:696748
Deposit date:
2017-06-01

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