@inproceedings{Lemmens2022a,
title = {Updating and using the EO4GEO Body of Knowledge for (AI) concept annotation},
author = {Rob Lemmens and Florian Albrecht and Stefan Lang and Sven Casteleyn and Martyna Stelmaszczuk-Górska and Marc Olijslagers and Mariana Begiu and Carlos Granell-Canut and Ellen-Wine Augustijn and Carsten Pathe, Eva-Maria Missoni-Steinbacher and Aida Monfort-Muriach},
doi = {https://doi.org/10.5194/agile-giss-3-44-2022},
year = {2022},
date = {2022-06-15},
booktitle = {AGILE GIScience Series (Proceedings of the 25th AGILE Conference on Geographic Information Science)},
volume = {3},
number = {44},
publisher = {Copernicus Publications},
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.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{Lemmens2022b,
title = {Integrating concepts of artificial intelligence in the EO4GEO Body of Knowledge},
author = {Rob Lemmens and Stefan Lang and Florian Albrecht and Ellen-Wien Augustijn and Carlos Granell-Canut and Marc Olijslagers and Carsten Pathe and Clemence Dubois and Martyna Stelmaszczuk-Górska},
doi = {10.5194/isprs-archives-XLIII-B4-2022-53-2022},
issn = {2194-9034},
year = {2022},
date = {2022-06-01},
booktitle = {The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (XXIV ISPRS Congress)},
volume = {XLIII-B4-2022},
pages = {53-59},
publisher = {Copernicus Publications},
abstract = {The EO4GEO Body of Knowledge (BoK) forms a structure of concepts and relationships between them, describing the domain of Earth Observation and Geo-Information (EO/GI). Each concept carries a short description, a list of key literature references and a set of associated skills which are used for job profiling and curriculum building. As the EO/GI domain is evolving continuously, the BoK needs regular updates with new concepts embodying new trends, and deprecating concepts which are not relevant anymore. This paper presents the inclusion of BoK concepts related to Artificial Intelligence. This broad field of knowledge has links to several applications in EO/GI. Its connection to concepts, already existing in the BoK, needs special attention. To perform a clean and structural integration of the cross-cutting domain of AI, first a separate cluster of AI concepts was created, which was then merged with the existing BoK. The paper provides examples of this integration with specific concepts and examples of training resources in which AI-related concepts are used. Although the presented structure already provides a good starting point, the positioning of AI within the EO/GI-focussed BoK needs to be further enhanced with the help of expert calls as part of the BoK update cycle.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}