Linked Data Metadata

Linked Data Metadata is a metadata framework that enables the representation and interconnection of data entities on the web through standardized semantic relationships, distinguishing itself by adhering to principles of uniform resource identification, structured data formats, and cross-domain linking to facilitate machine-readable knowledge integration.

122

Publications

4.1K

Citations

400

Authors

172

Institutions

Publications per year

2017–2026

34

Authors

400

  1. SD
    Stefan Dietze

    L3S Research Center, Germany

    6 publications · 297 citations

    6

    h-index

  2. AI
    Antoine Isaac

    Vrije Universiteit Amsterdam, Netherlands

    5 publications · 217 citations

    5

    h-index

  3. SA
    Sören Auer

    University of Bonn, Germany

    5 publications · 247 citations

    5

    h-index

  4. BH
    Bernhard Haslhofer

    Austrian Institute of Technology, Austria

    5 publications · 202 citations

    5

    h-index

  5. JD
    Jeremy Debattista

    University of Bonn, Germany

    4 publications · 215 citations

    5

    h-index

1–5 of 400

Venues

  1. Semantic Web

    11 publications · 332 citations

    11

    h-index

  2. Journal of Library Metadata

    JLM · 6 publications · 97 citations

    6

    h-index

  3. Cataloging & Classification Quarterly

    CCQ · 4 publications · 103 citations

    4

    h-index

  4. IEEE Intelligent Systems

    3 publications · 451 citations

    3

    h-index

  5. The Serials Librarian

    SL · 2 publications · 24 citations

    2

    h-index

1–5