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Optimizing Queries with Universal Quantification in Object-Oriented and Object-Relational Databases

Summary: Classifies universal-quantification queries in OO and object-relational models into 16 types and outlines plans for three core classes. Empirical results favor anti-semijoin plans, enabled by OO features; SQL/NOT EXISTS misses universals. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8429
Venue
VLDB
Year
1997
Pagerank
4.8418318e-05
Overall Rank
7,079 | 50.76%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
5,662 Query Unnesting in Object-Oriented Databases 1998 SIGMOD 5.3838456e-05
5,902 The Communication Complexity of Distributed Set-Joins with Applications to Matrix Multiplication 2015 PODS 5.2796864e-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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