Semantic Data Fusion

Semantic Data Fusion is a geospatial data fusion method that integrates heterogeneous data sources by resolving semantic discrepancies through explicit representation and alignment of meaning, enabling coherent interpretation and reasoning across diverse ontologies and schemas.

165

Publications

7.5K

Citations

674

Authors

254

Institutions

Publications per year

2017–2026

72

Authors

674

  1. EB
    Erik Blasch

    United States Air Force Research Laboratory, United States

    4 publications · 81 citations

    4

    h-index

  2. IK
    Ioannis Kompatsiaris

    Information Technologies Institute, Greece

    3 publications · 99 citations

    3

    h-index

  3. SK
    Shehzad Khalid

    Bahria University, Pakistan

    2 publications · 54 citations

    2

    h-index

  4. SK
    Sébastien Konieczny

    Centre National de la Recherche Scientifique, France

    2 publications · 80 citations

    2

    h-index

  5. JM
    Jan Michelfeit

    Masaryk University, Czechia

    2 publications · 33 citations

    2

    h-index

1–5 of 674

Venues

  1. Information Fusion

    11 publications · 526 citations

    11

    h-index

  2. 4

    h-index

  3. Sensors

    3 publications · 186 citations

    3

    h-index

  4. IEEE Access

    3 publications · 115 citations

    3

    h-index

  5. IEEE Transactions on Multimedia

    3 publications · 256 citations

    3

    h-index

1–5