Cross-source Data Linking

Cross-Source Data Linking is a data integration method that identifies and establishes semantic correspondences between heterogeneous datasets originating from distinct sources, enabling unified analysis through schema alignment and entity resolution.

127

Publications

5.1K

Citations

411

Authors

161

Institutions

Publications per year

2017–2026

26

Authors

411

  1. AH
    Andreas Harth

    Karlsruhe Institute of Technology, Germany

    6 publications · 250 citations

    6

    h-index

  2. CA
    Craig A. Knoblock

    University of Southern California, United States

    4 publications · 62 citations

    5

    h-index

  3. OH
    Oktie Hassanzadeh

    University of Toronto, Canada

    4 publications · 170 citations

    4

    h-index

  4. AK
    Anastasios Kementsietsidis

    IBM (United States), United States

    3 publications · 77 citations

    3

    h-index

  5. PS
    Pedro Szekely

    University of Southern California, United States

    3 publications · 47 citations

    3

    h-index

1–5 of 411

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 4 publications · 138 citations

    4

    h-index

  2. MADOC (University of Mannheim)

    Repository · 3 publications · 467 citations

    3

    h-index

  3. Arrow@dit (Dublin Institute of Technology)

    Repository · 2 publications · 90 citations

    2

    h-index

  4. ePrints Soton (University of Southampton)

    Repository · 2 publications · 119 citations

    2

    h-index

  5. BMC Bioinformatics

    2 publications · 147 citations

    2

    h-index

1–5