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Semantic Integration of Geospatial Data from Earth Observations

Abstract : We propose an approach to semantically enrich metadata records of satellite imagery with external data. As a result we are able the identify relevant images using a larger set of matching criteria. Conventional methods for annotating data sets are usually based on metadata records (with attributes such as title, provider, access mode, and spatio-temporal characteristics), which other a narrow view of the world. Enriching metadata with contextual information (i.e., the region depicted in the image has been recently affected by extreme weather) requires formalizing spatio-temporal relationships between metadata records and external data sources. Semantic technologies play a key role in such scenarios by providing an infrastructure based on RDF and ontologies.
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Submitted on : Thursday, January 25, 2018 - 1:48:27 PM
Last modification on : Tuesday, May 4, 2021 - 4:07:29 PM
Long-term archiving on: : Friday, May 25, 2018 - 7:27:10 AM


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  • HAL Id : hal-01692720, version 1
  • OATAO : 18809


Helbert Arenas, Nathalie Aussenac-Gilles, Catherine Comparot, Cassia Trojahn dos Santos. Semantic Integration of Geospatial Data from Earth Observations. 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2016), Nov 2016, Bologne, Italy. pp. 97-100. ⟨hal-01692720⟩



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