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Big Earth Data Volume 3, 2019 - Issue 3: Geospatial semantics, ontology and knowledge graphs for big Earth data
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Research Articles

Geospatial data ontology: the semantic foundation of geospatial data integration and sharing

Kai SunState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, People’s Republic of China;University of Chinese Academy of Sciences, Beijing, People’s Republic of ChinaORCID Iconhttps://orcid.org/0000-0002-0343-6032View further author information
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Yunqiang ZhuState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, People’s Republic of China;Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, People’s Republic of China;Center for Collaborative Innovation in Baiyangdian River Basin Ecological Protection and Beijing-Tianjin-Hebei Sustainable Development, Baoding, People’s Republic of ChinaCorrespondence[email protected]
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Peng PanAppraisal Center for Environment and Engineering, Ministry of Ecology and Environment, Beijing, People’s Republic of China;State Environmental Protection Key Laboratory of Numerical Modeling for Environment Impact Assessment, Beijing, People’s Republic of ChinaView further author information
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Zhiwei HouState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, People’s Republic of China;University of Chinese Academy of Sciences, Beijing, People’s Republic of ChinaView further author information
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Dongxu WangBeijing GEOWAY Software Co., Ltd, Beijing, People’s Republic of ChinaView further author information
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Weirong LiState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, People’s Republic of China;University of Chinese Academy of Sciences, Beijing, People’s Republic of ChinaView further author information
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Jia SongState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, People’s Republic of China;Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, People’s Republic of China;Center for Collaborative Innovation in Baiyangdian River Basin Ecological Protection and Beijing-Tianjin-Hebei Sustainable Development, Baoding, People’s Republic of ChinaORCID Iconhttps://orcid.org/0000-0002-9051-1925View further author information
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Pages 269-296 | Received 30 May 2019, Accepted 25 Aug 2019, Published online: 16 Sep 2019

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Xin Xiao, Hui Lin & Chaoyang Fang. (2023) WMO: an ontology for the semantic enrichment of wetland monitoring data. International Journal of Digital Earth 16:1, pages 2189-2211.
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