Record link: 
http://hdl.handle.net/20.500.12708/229447
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Title: 
What Does GeoAI Learn About Space? Evidence from DE-9IM Spatial Relations
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Citation: 
Alinaghi, N., & Giannopoulos, I. (2026). What Does GeoAI Learn About Space? Evidence from DE-9IM Spatial Relations. In Proceedings of the 1st International Conference on Geospatial Artificial Intelligence (GeoAI 2026) – Oral Presentation Papers. The 1st International Conference on Geospatial Artificial Intelligence (GeoAI 2026), Belgium. https://doi.org/10.5281/zenodo.20512658
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Publisher DOI: 
10.5281/zenodo.20512658
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Alinaghi, Negar 
Giannopoulos, Ioannis 
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Organisational Unit: 
E120-02 - Forschungsbereich Geoinformation 
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Published in: 
Proceedings of the 1st International Conference on Geospatial Artificial Intelligence (GeoAI 2026) – Oral Presentation Papers 
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Date (published): 
2-Jun-2026
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Event name: 
The 1st International Conference on Geospatial Artificial Intelligence (GeoAI 2026) 
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Event date: 
3-Jun-2026 - 6-Jun-2026
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Event place: 
Belgium
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Number of Pages: 
6
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Keywords: 
GeoAI; Spatial relations; Geometry; Machine Learning
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Research Areas: 
Mathematical and Algorithmic Foundations: 100%
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Science Branch: 
2074 - Geodäsie, Vermessungswesen: 70%
1020 - Informatik: 15%
1054 - Physische Geographie: 15%
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Appears in Collections:
Conference Paper

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