Metadata Enrichment

Metadata Enrichment is the process of enhancing existing metadata records with additional semantic, contextual, or structural information to improve their accuracy, interoperability, and utility within computational text analysis systems.

59

Publications

1.7K

Citations

212

Authors

94

Institutions

Publications per year

2017–2026

13

Authors

212

  1. AC
    Arif Canakoglu

    Politecnico di Milano, Italy

    2 publications · 64 citations

    2

    h-index

  2. JH
    Jin Ha Lee

    University of Washington, United States

    2 publications · 28 citations

    2

    h-index

  3. AB
    Anna Bernasconi

    Politecnico di Milano, Italy

    2 publications · 64 citations

    2

    h-index

  4. JS
    J. Stephen Downie

    University of Illinois Urbana-Champaign, United States

    2 publications · 28 citations

    2

    h-index

  5. KB
    Kalina Bontcheva

    University of Sheffield, United Kingdom

    2 publications · 47 citations

    2

    h-index

1–5 of 212

Venues

  1. Journal of Information Science

    JIS · 2 publications · 59 citations

    2

    h-index

  2. Online Information Review

    2 publications · 43 citations

    2

    h-index

  3. Information Technology and Libraries

    2 publications · 73 citations

    2

    h-index

  4. D-Lib Magazine

    2 publications · 35 citations

    2

    h-index

  5. Figshare

    Repository · 1 publications · 12 citations

    1

    h-index

1–5