Optimizing Queries with Universal Quantification in Object-Oriented and Object-Relational Databases
Summary: Classifies universal-quantification queries in object/object-relational databases and compares anti-semijoin, division, grouping, and difference plans. Anti-semijoins dominate and object features enable them where relational rewrites cannot, exposing SQL optimizers’ blind spot. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. J. Claussen (University of Passau)
- 2. A. Kemper (University of Passau)
- 3. G. Moerkotte (University of Mannheim)
- 4. K. Peithner (University of Passau)
BibTeX Citation
@article{claussen_vldb97,
title = {{Optimizing Queries with Universal Quantification in Object-Oriented and Object-Relational Databases}},
author = {Claussen, J. and Kemper, A. and Moerkotte, G. and Peithner, K.},
journal = {PVLDB},
series = {{VLDB} '97},
pages = {286--295},
year = {1997}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,951 | Query Unnesting in Object-Oriented Databases | 1998 | SIGMOD | 6.0313489e-05 |
| 5,996 | The Communication Complexity of Distributed Set-Joins with Applications to Matrix Multiplication | 2015 | PODS | 6.0150613e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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