Zobrazeno 1 - 10
of 103
pro vyhledávání: '"Folmer, Erwin"'
In this paper, we evaluate the accuracy of deep learning approaches on geospatial vector geometry classification tasks. The purpose of this evaluation is to investigate the ability of deep learning models to learn from geometry coordinates directly.
Externí odkaz:
http://arxiv.org/abs/1806.03857
Domain-Driven Design applied to land administration system development: Lessons from the Netherlands
Publikováno v:
In Land Use Policy May 2021 104
Autor:
Nottrot, Bas1,2 (AUTHOR), Folmer, Erwin2,3 (AUTHOR) erwin.folmer@utwente.nl, Roy, Debraj1 (AUTHOR), Scheer, Bob2 (AUTHOR), Merx, Peter2 (AUTHOR)
Publikováno v:
Transactions in GIS. Feb2023, Vol. 27 Issue 1, p57-83. 27p.
Publikováno v:
Transforming Government: People, Process and Policy, 2016, Vol. 10, Issue 2, pp. 239-255.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/TG-09-2014-0044
Akademický článek
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Akademický článek
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Spatial linked data in Europe: Report from spatial linked data sessions at knowledge graph in action
Autor:
Bucher, Bénédicte, Folmer, Erwin, Brennan, Rob, Beek, Wouter, Hbeich, Elio, Würriehausen, Falk, Rowland, Lexi, Maturana, Ricardo Alonso, Alvarado, Elena, Buyle, Raf, Di Donato, Pasquale
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::45ee08413919edb8f5360c65137938ac
https://research.utwente.nl/en/publications/7c7f2089-7016-4b5c-bc83-7e88fb0f76d1
https://research.utwente.nl/en/publications/7c7f2089-7016-4b5c-bc83-7e88fb0f76d1
Publikováno v:
Proceedings of the 4th International Workshop on Geospatial Linked Data (GeoLD 2021), 13-17
STARTPAGE=13;ENDPAGE=17;TITLE=Proceedings of the 4th International Workshop on Geospatial Linked Data (GeoLD 2021)
STARTPAGE=13;ENDPAGE=17;TITLE=Proceedings of the 4th International Workshop on Geospatial Linked Data (GeoLD 2021)
In order to assist users with the transformation and publication of spatial linked data on a small scale, the GeoDataWizard tool was developed by Kadaster, the Dutch Land Registry and Mapping Agency, as an open source project. The tool allows for the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::fe0593779ed83033c9f9a63b72fc88e6
https://research.utwente.nl/en/publications/f2bdc479-ed35-49b4-8594-25e1a50936ed
https://research.utwente.nl/en/publications/f2bdc479-ed35-49b4-8594-25e1a50936ed
Autor:
Bucher, Bénédicte, Tiainen, Esa, Brasch, Thomas Ellett von, Janssen, Paul, Kotzinos, Dimitris, Čeh, Marjan, Rijsdijk, Martijn, Folmer, Erwin, Van Damme, Marie-Dominique, Zhral, Mehdi
Publikováno v:
ISPRS international journal of geo-information, vol. 9, no. 2, 62, 2020.
Spatial Data Infrastructures (SDIs) are a key asset for Europe. This paper concentrates on unsolved issues in SDIs in Europe related to the management of semantic heterogeneities. It studies contributions and competences from two communities in this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3505::0270feaa2dc9360795dd45eec863eda0
https://repozitorij.uni-lj.si/IzpisGradiva.php?id=114842
https://repozitorij.uni-lj.si/IzpisGradiva.php?id=114842
Publikováno v:
ISSUE=53;TITLE=53rd Hawaii International Conference on System Sciences, HICSS 2020
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::4a68096025e5713e51e6958b3b36003a
https://research.utwente.nl/en/publications/datadriven-government-and-artificial-intelligence(677ff821-c7ec-4f89-af67-633c512c89fd).html
https://research.utwente.nl/en/publications/datadriven-government-and-artificial-intelligence(677ff821-c7ec-4f89-af67-633c512c89fd).html