Semantic Query Understanding is a computational framework within semantic search that enables the interpretation of user queries by capturing their underlying meaning, intent, and contextual nuances through linguistic and ontological analysis.
13
Publications
668
Citations
37
Authors
19
Institutions
Publications per year
2017–2026
3
Parents
Publications
13
Understanding the Semantic Structure of Noun Phrase Queries
Xiao Li · 2010 · 81 citations
Ricardo Baeza‐Yates · 2017 · 28 citations
1–5 of 13
Authors
37
- RL
1
h-index
- RH
1
h-index
- ZK
1
h-index
- TT
1
h-index
- JH
1
h-index
1–5 of 37
Institutions
19
Microsoft (United States)
Redmond, United States
2 h-index
4 publications
150 citations
University of Amsterdam
Amsterdam, The Netherlands
1 h-index
4 publications
72 citations
University of Washington
Seattle, United States
1 h-index
1 publications
23 citations
Universidade Federal de Minas Gerais
Belo Horizonte, Brazil
1 h-index
3 publications
51 citations
Wuhan University of Science and Technology
Wuhan, China
1 h-index
2 publications
28 citations
University of Sfax
Sfax, Tunisia
1 h-index
3 publications
33 citations
University of Electronic Science and Technology of China
Chengdu, China
1 h-index
1 publications
16 citations
University of Freiburg
Freiburg im Breisgau, Germany
1 h-index
2 publications
306 citations
1–8 of 19
Venues
- Foundations and Trends® in Information Retrieval
1 publications · 153 citations
1
h-index
- 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Conference · 1 publications · 233 citations
1
h-index
- UvA-DARE (University of Amsterdam)
Repository · 1 publications · 18 citations
1
h-index
- Journal of Web Semantics
1 publications · 37 citations
1
h-index
- Information Sciences
1 publications · 24 citations
1
h-index
1–5