Provenance Querying

Provenance Querying is a formal method for retrieving, analyzing, and tracing the origins, transformations, and dependencies of data elements across a data lineage graph, distinguished by its focus on answering questions about the history and derivation pathways of specific data artifacts within computational and storage systems.

222

Publications

11.1K

Citations

584

Authors

222

Institutions

Publications per year

2017–2026

55

Authors

584

  1. SB
    Susan B. Davidson

    University of Pennsylvania, United States

    12 publications · 758 citations

    12

    h-index

  2. VT
    Val Tannen

    University of Pennsylvania, United States

    11 publications · 913 citations

    11

    h-index

  3. AC
    Artem Chebotko

    Wayne State University, United States

    11 publications · 350 citations

    11

    h-index

  4. BL
    Bertram Ludäscher

    University of California, Davis, United States

    12 publications · 460 citations

    11

    h-index

  5. SL
    Shiyong Lu

    Wayne State University, United States

    10 publications · 326 citations

    10

    h-index

1–5 of 584

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 21 publications · 1.2K citations

    17

    h-index

  2. 13

    h-index

  3. arXiv (Cornell University)

    Repository · 4 publications · 86 citations

    4

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 4 publications · 93 citations

    4

    h-index

  5. ePrints Soton (University of Southampton)

    Repository · 3 publications · 106 citations

    3

    h-index

1–5