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
191
Faceted metadata for image search and browsing
Ka-Ping Yee, Kirsten Swearingen, Kevin Li et al. · 2003 · 904 citations
Computing, Art History, Fine Arts +12
Can all tags be used for search?
Kerstin Bischoff, Claudiu S. Firan, Wolfgang Nejdl et al. · 2008 · 296 citations
Using ODP metadata to personalize search
Paul - Alexandru Chirita, Wolfgang Nejdl, Raluca Paiu et al. · 2005 · 273 citations
Metadata mega mess in Google Scholar
Péter Jacsó · Online Information Review · 2010 · 146 citations
1–5 of 191
681
9
h-index
6
h-index
5
h-index
4
h-index
4
h-index
1–5 of 681
250

Pennsylvania State University
State College, United States
9 h-index
31 publications
1.3K citations
University of California, Berkeley
Berkeley, United States
5 h-index
17 publications
4.3K citations
University of Chicago
Chicago, United States
4 h-index
17 publications
434 citations
Argonne National Laboratory
Lemont, United States
4 h-index
9 publications
222 citations
Politecnico di Milano
Milan, Italy
4 h-index
19 publications
552 citations
University of California San Diego
San Diego, United States
4 h-index
10 publications
489 citations
University of California, Los Angeles
Los Angeles, United States
4 h-index
8 publications
210 citations

Leibniz University Hannover
Hanover, Germany
3 h-index
15 publications
2.4K citations
1–8 of 250
3 publications · 51 citations
3
h-index
3 publications · 61 citations
3
h-index
JASIST · 3 publications · 44 citations
3
h-index
3 publications · 90 citations
3
h-index
2 publications · 68 citations
2
h-index
1–5