Facet-Driven Search is a bibliographic retrieval method that enables users to iteratively refine search results by navigating through categorical facets derived from metadata or content attributes, distinguishing it from other search methods by its reliance on faceted classification to support exploratory and iterative information seeking.
67
Publications
2.7K
Citations
199
Authors
78
Institutions
Publications per year
2017–2026
9
Parents
Publications
67
Faceted search over RDF-based knowledge graphs
Marcelo Arenas, Bernardo Cuenca Grau, Evgeny Kharlamov et al. · Journal of Web Semantics · 2015 · 102 citations
Dynamic faceted search for discovery-driven analysis
Debabrata Dash, Jun Rao, Nimrod Megiddo et al. · 2008 · 96 citations · Full text
1–5 of 67
Authors
199
- BC
5
h-index
- YT
4
h-index
- MA
4
h-index
- EK
4
h-index
- DZ
4
h-index
1–5 of 199
Institutions
78
University of Oxford
Oxford, United Kingdom
5 h-index
22 publications
877 citations
Pontificia Universidad Católica de Chile
Santiago, Chile
4 h-index
4 publications
182 citations
IBM Research - Haifa
Haifa, Israel
4 h-index
19 publications
760 citations
University of Crete
Rethymno, Greece
3 h-index
6 publications
244 citations
IBM Research - India
New Delhi, India
3 h-index
7 publications
363 citations
University of Massachusetts Amherst
Amherst Center, United States
3 h-index
6 publications
242 citations
Foundation for Research and Technology Hellas
Heraklion, Greece
3 h-index
6 publications
114 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
2 h-index
3 publications
65 citations
1–8 of 78
Venues
- Information Processing & Management
2 publications · 80 citations
2
h-index
- Multimedia Tools and Applications
2 publications · 23 citations
2
h-index
- IEEE Transactions on Knowledge and Data Engineering
TKDE · 2 publications · 54 citations
2
h-index
- Behavioral & Social Sciences Librarian
1 publications · 16 citations
1
h-index
- Journal of Biomedical Informatics
1 publications · 26 citations
1
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1–5