Schema Matching

Schema Matching is a data integration task that identifies semantic correspondences between elements of heterogeneous schemas to enable the alignment of disparate data sources.

666

Publications

42.7K

Citations

1.5K

Authors

474

Institutions

Publications per year

2017–2026

90

Authors

1.5K

  1. AD
    AnHai Doan

    University of Wisconsin–Madison, United States

    26 publications · 3.6K citations

    23

    h-index

  2. ER
    Erhard Rahm

    Leipzig University, Germany

    19 publications · 8.1K citations

    17

    h-index

  3. AH
    Alon Halevy

    University of Washington, United States

    15 publications · 3K citations

    15

    h-index

  4. PG
    Phokion G. Kolaitis

    University of California, Santa Cruz, United States

    14 publications · 581 citations

    14

    h-index

  5. PA
    Philip A. Bernstein

    Microsoft (United States), United States

    16 publications · 5.6K citations

    14

    h-index

1–5 of 1.5K

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 33 publications · 2.5K citations

    25

    h-index

  2. Information Systems

    20 publications · 793 citations

    17

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 18 publications · 910 citations

    15

    h-index

  4. ACM SIGMOD Record

    14 publications · 2.1K citations

    14

    h-index

  5. Data & Knowledge Engineering

    DKE · 16 publications · 1.4K citations

    13

    h-index

1–5