Location-based Knowledge Representation

Location-Based Knowledge Representation is a formal framework within geospatial knowledge modeling that structurally integrates spatial location as a primary semantic dimension to enable context-aware, topologically grounded representation of entities and their interrelationships.

57

Publications

3.8K

Citations

179

Authors

80

Institutions

Publications per year

2017–2026

11

Authors

179

  1. SW
    Stephan Winter

    The University of Melbourne, Australia

    4 publications · 96 citations

    4

    h-index

  2. XX
    Xing Xie

    Microsoft Research Asia (China), China

    2 publications · 276 citations

    2

    h-index

  3. NB
    Norman Brown

    University of Pennsylvania, United States

    2 publications · 167 citations

    2

    h-index

  4. LS
    Lesley Stirling

    The University of Melbourne, Australia

    2 publications · 57 citations

    2

    h-index

  5. KB
    Klaus Berberich

    Max Planck Institute for Informatics, Germany

    2 publications · 350 citations

    2

    h-index

1–5 of 179

Venues

  1. 3

    h-index

  2. Expert Systems with Applications

    2 publications · 69 citations

    2

    h-index

  3. Computers Environment and Urban Systems

    2 publications · 85 citations

    2

    h-index

  4. 2

    h-index

  5. 2

    h-index

1–5