Updating and using the EO4GEO Body of Knowledge for (AI) concept annotation

Lemmens, Rob; Albrecht, Florian; Lang, Stefan; Casteleyn, Sven; Stelmaszczuk-Górska, Martyna; Olijslagers, Marc; Belgiu, Mariana; Granell, Carlos; Augustijn, Ellen-Wien; Pathe, Carsten; Missoni-Steinbacher, Eva-Maria; Monfort Muriach, Aida

doi:https://doi.org/10.5194/agile-giss-3-44-2022

Articles | Volume 3

https://doi.org/10.5194/agile-giss-3-44-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/agile-giss-3-44-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 3

11 Jun 2022

| 11 Jun 2022

Updating and using the EO4GEO Body of Knowledge for (AI) concept annotation

Rob Lemmens, Florian Albrecht, Stefan Lang, Sven Casteleyn, Martyna Stelmaszczuk-Górska, Marc Olijslagers, Mariana Belgiu, Carlos Granell, Ellen-Wien Augustijn, Carsten Pathe, Eva-Maria Missoni-Steinbacher, and Aida Monfort Muriach

Keywords: Body of Knowledge, concept model, concept annotation, artificial intelligence

Abstract. The EO4GEO Body of Knowledge (BoK) serves as a vocabulary for the domain of geoinformation and earth observation, supporting the annotation of online resources. This paper presents how the BoK is designed, maintained and improved. We discuss how the BoK content can be extended, using the example of integrating artificial intelligence (AI) concepts and show how annotation is done by adding persistent concept identifiers in the metadata of training materials. This platform allows us to share online information with clarified semantics. A prolonged use necessitates the incentivisation of an active expert community and a further adoption of infrastructure standards.