Geospatial Entity Resolution

Geospatial Entity Resolution is an academic method within geospatial knowledge representation that uniquely identifies and links heterogeneous spatial entities across disparate datasets by resolving geometric, semantic, and contextual correspondences to establish a unified, non-redundant representation of real-world locations.

31

Publications

1.7K

Citations

142

Authors

80

Institutions

Publications per year

2017–2026

12

Authors

142

  1. JZ
    Jingying Zhu

    Chinese Academy of Sciences, China

    2 publications · 239 citations

    2

    h-index

  2. AS
    Abu S. Maroof

    Kansas State University, United States

    2 publications · 239 citations

    2

    h-index

  3. BA
    Blake A. Walter

    Centre National d'Études Spatiales, France

    2 publications · 239 citations

    2

    h-index

  4. VK
    Vivek Kumar Sehgal

    Jaypee University of Information Technology, India

    2 publications · 147 citations

    2

    h-index

  5. MD
    Meng Ding

    Kansas State University, United States

    2 publications · 239 citations

    2

    h-index

1–5 of 142

Venues

  1. 3

    h-index

  2. ISPRS International Journal of Geo-Information

    IJGI · 2 publications · 32 citations

    2

    h-index

  3. 1

    h-index

  4. Cell Systems

    1 publications · 354 citations

    1

    h-index

  5. ACM SIGIR Forum

    1 publications · 158 citations

    1

    h-index

1–5