Metadata-based Retrieval

Metadata-Based Retrieval is a retrieval approach within information retrieval architecture that identifies and retrieves documents by analyzing their associated metadata, distinguished from content-based methods through its reliance on descriptive, structural, or administrative data rather than the full text or content of the documents.

107

Publications

2.8K

Citations

304

Authors

142

Institutions

Publications per year

2017–2026

21

Authors

304

  1. WN
    Wolfgang Nejdl

    L3S Research Center, Germany

    3 publications · 333 citations

    3

    h-index

  2. JH
    Jane Hunter

    The University of Queensland, Australia

    2 publications · 23 citations

    2

    h-index

  3. KH
    Kyung Hoi Min

    Massachusetts Institute of Technology, United States

    2 publications · 45 citations

    2

    h-index

  4. MA
    Munir Ahmad

    National College of Business Administration and Economics, Pakistan

    2 publications · 49 citations

    2

    h-index

  5. JZ
    Jin Zhang

    University of Wisconsin–Milwaukee, United States

    2 publications · 103 citations

    2

    h-index

1–5 of 304

Venues

  1. Online Information Review

    3 publications · 63 citations

    3

    h-index

  2. Library Review

    2 publications · 29 citations

    2

    h-index

  3. Journal of Information Science

    JIS · 2 publications · 42 citations

    2

    h-index

  4. 2

    h-index

  5. arXiv (Cornell University)

    Repository · 2 publications · 49 citations

    2

    h-index

1–5