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

Authors

169

  1. YZ
    Yunqiang Zhu

    Institute of Geographic Sciences and Natural Resources Research, China

    3 publications · 71 citations

    3

    h-index

  2. ZX
    Zhong Xie

    China University of Geosciences, China

    3 publications · 93 citations

    3

    h-index

  3. YH
    Yingjie Hu

    University at Buffalo, State University of New York, United States

    3 publications · 597 citations

    3

    h-index

  4. QQ
    Qinjun Qiu

    China University of Geosciences, China

    3 publications · 93 citations

    3

    h-index

  5. KM
    Kai Ma

    China Three Gorges University, China

    3 publications · 93 citations

    3

    h-index

1–5 of 169

Venues

  1. 3

    h-index

  2. Journal of Earth Science

    3 publications · 64 citations

    3

    h-index

  3. Pattern Recognition Letters

    2 publications · 58 citations

    2

    h-index

  4. Computers Environment and Urban Systems

    2 publications · 320 citations

    2

    h-index

  5. ISPRS International Journal of Geo-Information

    IJGI · 2 publications · 116 citations

    2

    h-index

1–5