Knowledge-based Generalization

Knowledge-Based Generalization is a cartographic generalization method that integrates domain-specific knowledge, formalized through rules, ontologies, or expert systems, to guide and constrain the selection, simplification, and representation of spatial features in map generalization.

35

Publications

3.6K

Citations

79

Authors

39

Institutions

Publications per year

2017–2026

10

Authors

79

  1. RW
    Robert Weibel

    University of Zurich, Switzerland

    3 publications · 149 citations

    3

    h-index

  2. WM
    William Mackaness

    University of Edinburgh, United Kingdom

    3 publications · 239 citations

    3

    h-index

  3. ST
    Smadar T. Kedar-Cabelli

    Rutgers, The State University of New Jersey, United States

    3 publications · 1.9K citations

    3

    h-index

  4. YW
    Ying Wei

    Hong Kong University of Science and Technology, Hong Kong SAR China

    2 publications · 131 citations

    2

    h-index

  5. JH
    Junzhou Huang

    The University of Texas at Arlington, United States

    2 publications · 131 citations

    2

    h-index

1–5 of 79

Venues

  1. 3

    h-index

  2. National Conference on Artificial Intelligence

    Conference · 2 publications · 80 citations

    2

    h-index

  3. 2

    h-index

  4. Cartography and Geographic Information Systems

    2 publications · 270 citations

    2

    h-index

  5. Machine Learning

    2 publications · 1.9K citations

    2

    h-index

1–5