Schema Discovery

Schema Discovery is an academic method within the field of data ingestion that identifies and infers the structural organization of data elements and their interrelationships from raw or unstructured data sources.

162

Publications

9.5K

Citations

440

Authors

186

Institutions

Publications per year

2017–2026

25

Authors

440

  1. PA
    Philip A. Bernstein

    Microsoft (United States), United States

    7 publications · 1.5K citations

    7

    h-index

  2. FN
    Felix Naumann

    Hasso Plattner Institute, Germany

    6 publications · 528 citations

    6

    h-index

  3. RJ
    Renée J. Miller

    University of Toronto, Canada

    6 publications · 628 citations

    6

    h-index

  4. AD
    AnHai Doan

    University of Wisconsin–Madison, United States

    5 publications · 1.1K citations

    5

    h-index

  5. DW
    David W. Embley

    Brigham Young University, United States

    4 publications · 168 citations

    4

    h-index

1–5 of 440

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 6 publications · 300 citations

    6

    h-index

  2. The VLDB Journal

    5 publications · 392 citations

    5

    h-index

  3. Information Systems

    3 publications · 155 citations

    3

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 3 publications · 167 citations

    3

    h-index

  5. Methods of Information in Medicine

    2 publications · 28 citations

    2

    h-index

1–5