Metadata Models

Metadata Models is a formal framework that specifies the structure, semantics, and relationships of metadata elements within an organization or system, distinguishing it from other data models by focusing exclusively on the description, management, and representation of data properties and their interdependencies.

137

Publications

6K

Citations

379

Authors

167

Institutions

Publications per year

2017–2026

26

Authors

379

  1. JG
    Jane Greenberg

    University of North Carolina at Chapel Hill, United States

    5 publications · 277 citations

    5

    h-index

  2. BW
    Brian W. Matthews

    University of Oregon, United States

    4 publications · 96 citations

    4

    h-index

  3. ER
    Erhard Rahm

    Leipzig University, Germany

    4 publications · 153 citations

    4

    h-index

  4. LR
    L. Rattner

    Rensselaer Polytechnic Institute, United States

    3 publications · 102 citations

    3

    h-index

  5. EG
    Eduardo Guerra

    Free University of Bozen-Bolzano, Italy

    3 publications · 75 citations

    3

    h-index

1–5 of 379

Venues

  1. Cataloging & Classification Quarterly

    CCQ · 5 publications · 189 citations

    5

    h-index

  2. Journal of Library Metadata

    JLM · 3 publications · 75 citations

    3

    h-index

  3. D-Lib Magazine

    3 publications · 103 citations

    3

    h-index

  4. International Journal of Metadata Semantics and Ontologies

    IJMSO · 3 publications · 52 citations

    3

    h-index

  5. Library Hi Tech

    2 publications · 37 citations

    2

    h-index

1–5