Provenance Matching

Provenance Matching is a methodological framework within the domain of data provenance analysis that identifies and establishes correspondence between origin-specific attributes of data entities across heterogeneous sources based on shared lineage characteristics.

5

Publications

216

Citations

13

Authors

8

Institutions

Publications per year

2017–2026

0

Authors

13

  1. DS
    D. Scheepers

    UCLouvain, Belgium

    1 publications · 39 citations

    1

    h-index

  2. MA
    Michael A. Hamilton

    University of Toronto, Canada

    1 publications · 56 citations

    1

    h-index

  3. AM
    Aaron M. Satkoski

    University of Wisconsin–Madison, United States

    1 publications · 56 citations

    1

    h-index

  4. SD
    Scott D. Samson

    Syracuse University, United States

    1 publications · 56 citations

    1

    h-index

  5. MB
    Michel Briquet

    UCLouvain, Belgium

    1 publications · 39 citations

    1

    h-index

1–5 of 13

Venues

  1. Canadian Journal of Forest Research

    1 publications · 59 citations

    1

    h-index

  2. Theoretical and Applied Genetics

    1 publications · 39 citations

    1

    h-index

  3. Canadian Journal of Earth Sciences

    1 publications · 56 citations

    1

    h-index

  4. Botany

    1 publications · 21 citations

    1

    h-index

  5. Forest Ecology and Management

    1 publications · 11 citations

1–5