Aggregation and Relevance in Deductive Databases
Summary: Extends relevance-based query optimization for deductive databases to aggregates (min/max/top-k) via an aggregate-aware relevance notion and predicate labeling. An evaluation phase uses aggregate selections to prune irrelevant facts, complementing Magic Sets and refining Semi-Naive evaluation. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. S. Sudarshan (University of Wisconsin)
- 2. Raghu Ramakrishnan (University of Wisconsin)
BibTeX Citation
@article{sudarshan_vldb91,
title = {{Aggregation and Relevance in Deductive Databases}},
author = {Sudarshan, S. and Ramakrishnan, Raghu},
journal = {PVLDB},
series = {{VLDB} '91},
pages = {501--511},
year = {1991}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 16 | MAGIC SETS AND OTHER STRANGE WAYS TO IMPLEMENT LOGIC PROGRAMS (Extended Abstract) | 1986 | PODS | 0.00060089598 |
| 217 | Traversal Recursion: A Practical Approach to Supporting Recursive Applications | 1986 | SIGMOD | 0.00024458594 |
| 344 | On the Power of Magic | 1987 | PODS | 0.00020659405 |
| 1,026 | Sets and Negation in a Logic Database Language (LDL1) | 1987 | PODS | 0.00012578477 |
| 3,560 | Minimum and Maximum Predicates in Logic Programming | 1991 | PODS | 7.3094581e-05 |
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