Metadata-based Search

Metadata-Based Search is a federated search method that retrieves and ranks information resources by leveraging metadata descriptors—such as author, title, creation date, or content type—rather than full-text or semantic analysis, to enable efficient and context-aware querying across heterogeneous repositories.

191

Publications

7.5K

Citations

681

Authors

250

Institutions

Publications per year

2017–2026

38

Authors

681

  1. CL
    C. Lee Giles

    Pennsylvania State University, United States

    9 publications · 425 citations

    9

    h-index

  2. WN
    Wolfgang Nejdl

    L3S Research Center, Germany

    6 publications · 685 citations

    6

    h-index

  3. PM
    Prasenjit Mitra

    Pennsylvania State University, United States

    5 publications · 282 citations

    5

    h-index

  4. RP
    Raluca Paiu

    L3S Research Center, Germany

    4 publications · 605 citations

    4

    h-index

  5. SC
    Stefano Ceri

    Politecnico di Milano, Italy

    4 publications · 120 citations

    4

    h-index

1–5 of 681

Venues

  1. Library Hi Tech

    3 publications · 51 citations

    3

    h-index

  2. Journal of Physics Conference Series

    3 publications · 61 citations

    3

    h-index

  3. 3

    h-index

  4. IEEE Multimedia

    3 publications · 90 citations

    3

    h-index

  5. Database

    2 publications · 68 citations

    2

    h-index

1–5