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dc.contributor.authorLemmens, Rob
dc.contributor.authorLang, Stefan
dc.contributor.authorAlbrecht, Florian
dc.contributor.authorAugustijn, E.
dc.contributor.authorGranell, Carlos
dc.contributor.authorOlijslagers, Marc
dc.contributor.authorPathe, C.
dc.contributor.authorDubois, C.
dc.contributor.authorStelmaszczuk-Górska, Martyna A.
dc.date.accessioned2022-11-09T17:22:27Z
dc.date.available2022-11-09T17:22:27Z
dc.date.issued2022-06
dc.identifier.citationLemmens, 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.ca_CA
dc.identifier.urihttp://hdl.handle.net/10234/200752
dc.descriptionPonència del XXIV ISPRS Congress (2022 edition), 6–11 June 2022, Nice, Franceca_CA
dc.description.abstractThe 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.ca_CA
dc.format.extent7 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherInternational Society for Photogrammetry and Remote Sensingca_CA
dc.publisherLeibniz University Hannover Institute of Photogrammetry and GeoInformationca_CA
dc.relation.isPartOfThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLIII-B4-2022, 2022, pp.53-59ca_CA
dc.rights© Author(s) 2022ca_CA
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/ca_CA
dc.subjectbody of knowledgeca_CA
dc.subjectartificial intelligenceca_CA
dc.subjectmachine learningca_CA
dc.subjectgeocomputationca_CA
dc.subjectconcept modelca_CA
dc.subjectontologyca_CA
dc.titleIntegrating Concepts of Artificial Intelligence in the EO4GEO Body of Knowledgeca_CA
dc.typeinfo:eu-repo/semantics/conferenceObjectca_CA
dc.identifier.doihttps://doi.org/10.5194/isprs-archives-XLIII-B4-2022-53-2022
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_CA


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