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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)

Paper ID
8231
Venue
VLDB
Year
1991
Pagerank
8.4854377e-05
Overall Rank
2,511 | 82.78%
DOI
-

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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}
}

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