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.
Authors
- Carlos E. Palau (ORCID: https://orcid.org/0000-0002-3795-5404)
- Jaime Calvo‐Gallego (ORCID: https://orcid.org/0000-0003-4987-4852)
- Benjamín Molina (ORCID: https://orcid.org/0000-0002-1995-4192)
Institutions
- Universidad de Zamora (MX)
- Universitat Politècnica de València (ES)
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
Funders
- European Commission
- Universidad de Salamanca
- Horizon 2020 Framework Programme
- Agencia Estatal de Investigación