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Linked geospatial data

Abstract:
Huge amounts of geospatial data have been made freely available recently on the Web, for example, maps from geospatial search engines like Google Maps, images from satellites, open geospatial data from national cartographic agencies, and user-contributed geospatial content from social networks. This article surveys the state of the art in the area of linked geospatial data, i.e., geospatial data made available on the Web using linked data technologies such as RDF and SPARQL and interlinked with other Web data to increase its value for users and applications.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/978-3-319-77525-8_71

Authors

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author

Contributors

Role:
Editor
Role:
Editor


Publisher:
Springer
Host title:
Encyclopedia of Big Data Technologies
Pages:
1124–1131
Place of publication:
Cham, Switzerland
Publication date:
2019-02-20
DOI:
EISBN:
9783319775258
ISBN:
9783319775241


Language:
English
Pubs id:
pubs:812150
UUID:
uuid:ed7e6fe1-eba8-4cd7-9c23-9481080cc2d8
Local pid:
pubs:812150
Source identifiers:
812150
Deposit date:
2018-04-08
ARK identifier:

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