On-Demand Query Processing is a query processing paradigm in ad hoc analysis that dynamically executes user-generated analytical queries in real time without reliance on precomputed summaries or persistent data structures, distinguishing it from batch-oriented or materialization-based approaches.
78
Publications
6K
Citations
343
Authors
125
Institutions
Publications per year
2017–2026
19
Variants
Ad Hoc Query Processing
Parents
Publications
78
Louis Woods, Zsolt István, Gustavo Alonso · Proceedings of the VLDB Endowment · 2014 · 246 citations · Full text
Data summaries for on-demand queries over linked data
Andreas Harth, Katja Hose, Marcel Karnstedt et al. · 2010 · 209 citations
1–5 of 78
Authors
343
- AS
2
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- BH
2
h-index
- MA
2
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- DH
2
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- LW
2
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1–5 of 343
Institutions
125
The Ohio State University
Columbus, United States
4 h-index
9 publications
154 citations
University of Washington
Seattle, United States
3 h-index
22 publications
1.7K citations
IBM Research - Almaden
San Jose, United States
3 h-index
12 publications
247 citations
Microsoft (United States)
Redmond, United States
3 h-index
4 publications
69 citations
Johns Hopkins University
Baltimore, United States
3 h-index
11 publications
499 citations
IBM (United States)
Armonk, United States
3 h-index
4 publications
105 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
2 h-index
2 publications
1.5K citations
University of Cyprus
Nicosia, Cyprus
2 h-index
4 publications
74 citations
1–8 of 125
Venues
- Proceedings of the VLDB Endowment
PVLDB · 8 publications · 480 citations
8
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- Journal of Physics Conference Series
3 publications · 170 citations
3
h-index
- IEEE Transactions on Big Data
2 publications · 52 citations
2
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- ACM Transactions on Database Systems
TODS · 2 publications · 30 citations
2
h-index
- Information Systems
2 publications · 29 citations
2
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1–5