Constraint-based Spatial Representation

Constraint-Based Spatial Representation is a spatial knowledge representation method that uses formal constraints to specify spatial relationships among entities, distinguishing itself by relying on logical or mathematical constraints rather than explicit coordinates or topological adjacency to define and reason about spatial configurations.

44

Publications

2.7K

Citations

107

Authors

67

Institutions

Publications per year

2017–2026

13

Authors

107

  1. SG
    Stéphane Grumbach

    Institut national de recherche en sciences et technologies du numérique, France

    3 publications · 189 citations

    3

    h-index

  2. LS
    Luc Segoufin

    Institut national de recherche en sciences et technologies du numérique, France

    3 publications · 189 citations

    3

    h-index

  3. PR
    Philippe Rigaux

    Centre d'études et de recherche en informatique et communications, France

    3 publications · 189 citations

    3

    h-index

  4. SF
    Sanja Fidler

    University of Toronto, Canada

    2 publications · 332 citations

    2

    h-index

  5. YC
    Yijie Chen

    Zhejiang University of Technology, China

    2 publications · 502 citations

    2

    h-index

1–5 of 107

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 58 citations

    2

    h-index

  2. 2

    h-index

  3. International Conference on Digital Government Research

    Conference · 1 publications · 11 citations

    1

    h-index

  4. Expert Systems with Applications

    1 publications · 36 citations

    1

    h-index

  5. Multimedia Systems

    1 publications · 16 citations

    1

    h-index

1–5