Spatial Knowledge Graph Construction
Spatial Knowledge Graph Construction is a methodological framework within geospatial artificial intelligence that systematically integrates heterogeneous spatial data sources with semantic knowledge representation to generate structured, machine-readable graphs encoding topological, geometric, and relational properties of geographic entities.
38
Publications
3.1K
Citations
169
Authors
88
Institutions
Publications per year
2017–2026
26
Parents
38
WorldKG: A World-Scale Geographic Knowledge Graph
Alishiba Dsouza, Nicolas Tempelmeier, Ran Yu et al. · 2021 · 86 citations · Full text
Computing, Geography, Geoinformatics +17
1–5 of 38
169
Institute of Geographic Sciences and Natural Resources Research, China
3 publications · 71 citations
3
h-index
3
h-index
University at Buffalo, State University of New York, United States
3 publications · 597 citations
3
h-index
3
h-index
3
h-index
1–5 of 169
88
China University of Geosciences
Wuhan, China
4 h-index
14 publications
431 citations
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application
Nanjing, China
4 h-index
12 publications
812 citations
Nanjing Normal University
Nanjing, China
4 h-index
11 publications
754 citations

China Three Gorges University
Yichang, China
3 h-index
4 publications
116 citations
University at Buffalo, State University of New York
Buffalo, United States
3 h-index
4 publications
636 citations
Tsinghua University
Beijing, China
3 h-index
3 publications
53 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
7 publications
185 citations
Institute of Geographic Sciences and Natural Resources Research
Beijing, China
3 h-index
6 publications
167 citations
1–8 of 88
3 publications · 585 citations
3
h-index
3 publications · 64 citations
3
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2 publications · 58 citations
2
h-index
2 publications · 320 citations
2
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IJGI · 2 publications · 116 citations
2
h-index
1–5