Integrating Concepts of Artificial Intelligence in the EO4GEO Body of Knowledge
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Otros documentos de la autoría: Lemmens, Rob; Lang, Stefan; Albrecht, Florian; Augustijn, E.; Granell, Carlos; Olijslagers, Marc; Pathe, C.; Dubois, C.; Stelmaszczuk-Górska, Martyna A.
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Título
Integrating Concepts of Artificial Intelligence in the EO4GEO Body of KnowledgeAutoría
Fecha de publicación
2022-06Editor
International Society for Photogrammetry and Remote Sensing; Leibniz University Hannover Institute of Photogrammetry and GeoInformationCita bibliográfica
Lemmens, R., Lang, S., Albrecht, F., Augustijn, E., Granell, C., Olijslagers, M., Pathe, C., Dubois, C., and Stelmaszczuk-Górska, M.: INTEGRATING CONCEPTS OF ARTIFICIAL INTELLIGENCE IN THE EO4GEO BODY OF KNOWLEDGE, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2022, 53–59, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-53-2022, 2022.Tipo de documento
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Resumen
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 ... [+]
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. [-]
Descripción
Ponència del XXIV ISPRS Congress (2022 edition), 6–11 June 2022, Nice, France
Publicado en
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLIII-B4-2022, 2022, pp.53-59Derechos de acceso
© Author(s) 2022
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