INTEGRATING CONCEPTS OF ARTIFICIAL INTELLIGENCE IN THE EO4GEO BODY OF KNOWLEDGE
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...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2022-06-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B4-2022/53/2022/isprs-archives-XLIII-B4-2022-53-2022.pdf |
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| author | R. Lemmens S. Lang F. Albrecht E. Augustijn C. Granell M. Olijslagers C. Pathe C. Dubois M. Stelmaszczuk-Górska |
| author_facet | R. Lemmens S. Lang F. Albrecht E. Augustijn C. Granell M. Olijslagers C. Pathe C. Dubois M. Stelmaszczuk-Górska |
| author_sort | R. Lemmens |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-12T09:38:45Z |
| format | Article |
| id | doaj.art-89faa412e4394916aa79b5a6b7704bcc |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-12T09:38:45Z |
| publishDate | 2022-06-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-89faa412e4394916aa79b5a6b7704bcc2022-12-22T00:28:38ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342022-06-01XLIII-B4-2022535910.5194/isprs-archives-XLIII-B4-2022-53-2022INTEGRATING CONCEPTS OF ARTIFICIAL INTELLIGENCE IN THE EO4GEO BODY OF KNOWLEDGER. Lemmens0S. Lang1F. Albrecht2E. Augustijn3C. Granell4M. Olijslagers5C. Pathe6C. Dubois7M. Stelmaszczuk-Górska8Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, The NetherlandsDepartment of Geoinformatics, University of Salzburg, Salzburg, AustriaDepartment of Geoinformatics, University of Salzburg, Salzburg, AustriaFaculty of Geo-Information Science and Earth Observation (ITC), University of Twente, The NetherlandsInstitute of New Imaging Technologies (INIT), Universitat Jaume I (UJI), SpainSpatial Applications Division Leuven, KU Leuven, BelgiumDepartment of Earth Observation, Friedrich-Schiller-University, Jena, GermanyDepartment of Earth Observation, Friedrich-Schiller-University, Jena, GermanyDepartment of Earth Observation, Friedrich-Schiller-University, Jena, GermanyThe 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.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B4-2022/53/2022/isprs-archives-XLIII-B4-2022-53-2022.pdf |
| spellingShingle | R. Lemmens S. Lang F. Albrecht E. Augustijn C. Granell M. Olijslagers C. Pathe C. Dubois M. Stelmaszczuk-Górska INTEGRATING CONCEPTS OF ARTIFICIAL INTELLIGENCE IN THE EO4GEO BODY OF KNOWLEDGE The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | INTEGRATING CONCEPTS OF ARTIFICIAL INTELLIGENCE IN THE EO4GEO BODY OF KNOWLEDGE |
| title_full | INTEGRATING CONCEPTS OF ARTIFICIAL INTELLIGENCE IN THE EO4GEO BODY OF KNOWLEDGE |
| title_fullStr | INTEGRATING CONCEPTS OF ARTIFICIAL INTELLIGENCE IN THE EO4GEO BODY OF KNOWLEDGE |
| title_full_unstemmed | INTEGRATING CONCEPTS OF ARTIFICIAL INTELLIGENCE IN THE EO4GEO BODY OF KNOWLEDGE |
| title_short | INTEGRATING CONCEPTS OF ARTIFICIAL INTELLIGENCE IN THE EO4GEO BODY OF KNOWLEDGE |
| title_sort | integrating concepts of artificial intelligence in the eo4geo body of knowledge |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B4-2022/53/2022/isprs-archives-XLIII-B4-2022-53-2022.pdf |
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