Enriching Earth observation datasets through semantics for climate change applications: The EIFFEL ontology

The EIFFEL ontology represents a significant advancement in the organization and application of EO datasets. By embedding ECV and SDG ontologies and leveraging semantic web technologies, EIFF-O not only streamlines the data discovery process but also supports diverse applications, particularly in Climate Change monitoring and Sustainable Development Goals achievement. The open-source nature of the ontology and its associated tools promotes rapid adoption among developers.

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Publication Details

Journal
Open Research Europe
Published
2024-10-18
DOI
https://doi.org/10.12688/openreseurope.17992.2
Citations
1
Primary Topic
Semantic Web and Ontologies
Type
article
Field-Weighted Citation Impact
0.35

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article

Enriching Earth observation datasets through semantics for climate change applications: The EIFFEL ontology

Carlos E. Palau, Jaime Calvo‐Gallego, Benjamín Molina
1 citations
Open Research Europe
Semantic Web and Ontologies
0.35
article

Enriching Earth observation datasets through semantics for climate change applications: The EIFFEL ontology

Carlos E. Palau, Jaime Calvo‐Gallego, Benjamín Molina
article en
1 citations

Abstract

The EIFFEL ontology represents a significant advancement in the organization and application of EO datasets. By embedding ECV and SDG ontologies and leveraging semantic web technologies, EIFF-O not only streamlines the data discovery process but also supports diverse applications, particularly in Climate Change monitoring and Sustainable Development Goals achievement. The open-source nature of the ontology and its associated tools promotes rapid adoption among developers.

Open Research EuropeVol. 4
Universidad de Zamora (MX), Universitat Politècnica de València (ES)
European Commission, Universidad de Salamanca, Horizon 2020 Framework Programme, Agencia Estatal de Investigación
Climate action
Openalex Percentile: Top 33%
Semantic Web and Ontologies
0.35
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