Book section
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
Actions
Access Document
- Publisher copy:
- 10.1007/978-3-319-77525-8_71
Authors
- 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:
Terms of use
- Copyright holder:
- Springer Nature Switzerland AG
- Copyright date:
- 2019
- Rights statement:
- © 2019 Springer Nature Switzerland AG.
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