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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)

Paper ID
8620
Venue
VLDB
Year
1997
Pagerank
5.6793385e-05
Overall Rank
7,183 | 50.72%
DOI
-

Incoming Non-self Citations Over Time

Authors

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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