Integrating Concepts of Artificial Intelligence in the EO4GEO Body of Knowledge

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Title
Integrating Concepts of Artificial Intelligence in the EO4GEO Body of Knowledge
Author (s)
 Lemmens, Rob;
 Lang, Stefan;
 Albrecht, Florian;
 Augustijn, E.;
 Granell, Carlos;
 Olijslagers, Marc;
 Pathe, C.;
 Dubois, C.;
 Stelmaszczuk-Górska, Martyna A.
Date
2022-06
Publisher
International Society for Photogrammetry and Remote Sensing; Leibniz University Hannover Institute of Photogrammetry and GeoInformation
URI
http://hdl.handle.net/10234/200752
DOI
https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-53-2022
Bibliographic citation
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.
Type
info:eu-repo/semantics/conferenceObject
Version
info:eu-repo/semantics/publishedVersion
Subject
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 ... [+]
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. [-]
Description
Ponència del XXIV ISPRS Congress (2022 edition), 6–11 June 2022, Nice, France
Is part of
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLIII-B4-2022, 2022, pp.53-59
Rights
© Author(s) 2022
info:eu-repo/semantics/openAccess
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© Author(s) 2022
Except where otherwise noted, this item's license is described as © Author(s) 2022