Provenance Models

Provenance Models is a formal framework that specifies the structure, semantics, and relationships of data lineage information to enable accurate representation, tracking, and interpretation of the origin, transformation, and flow of data across computational processes.

402

Publications

19.9K

Citations

1.1K

Authors

390

Institutions

Publications per year

2017–2026

107

Variants

Provenance Model

Authors

1.1K

  1. LM
    Luc Moreau

    University of Southampton, United Kingdom

    34 publications · 2.8K citations

    25

    h-index

  2. PG
    Paul Groth

    University of Amsterdam, Netherlands

    27 publications · 2.5K citations

    23

    h-index

  3. SM
    Simon Miles

    King's College London, United Kingdom

    20 publications · 2.1K citations

    17

    h-index

  4. JC
    James Cheney

    University of Edinburgh, United Kingdom

    20 publications · 2K citations

    16

    h-index

  5. PM
    Paolo Missier

    Newcastle University, United Kingdom

    12 publications · 1.2K citations

    12

    h-index

1–5 of 1.1K

Venues

  1. Future Generation Computer Systems

    FGCS · 21 publications · 1.1K citations

    14

    h-index

  2. 10

    h-index

  3. ePrints Soton (University of Southampton)

    Repository · 11 publications · 722 citations

    10

    h-index

  4. Proceedings of the VLDB Endowment

    PVLDB · 7 publications · 319 citations

    7

    h-index

  5. Journal of Web Semantics

    6 publications · 371 citations

    6

    h-index

1–5