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Optimizing Queries across Diverse Data Sources

Summary: Garlic’s optimizer extends rule-based optimization to heterogeneous data integration, combining generic middleware rules with wrapper-supplied source capabilities. This modular design supports extensibility, incremental rule implementation, and effective cross-source plan generation. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h6b19b674d5201419
Venue
VLDB
Year
1997
Pagerank
0.00026826959
Overall Rank
173 | 98.84%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{haas_vldb97,
        title = {{Optimizing Queries across Diverse Data Sources}},
        author = {Haas, Laura M. and Kossmann, Donald and Wimmers, Edward L. and Yang, Jun},
        journal = {PVLDB},
        series = {{VLDB} '97},
        year = {1997}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 53 citing papers.

Rank Citing Paper Year Venue Pagerank
13,196 DatabasePatchwork on the Internet 1999 SIGMOD 4.9793485e-05
13,225 nD-SQL: A Multi-dimensional Language for Interoperability and OLAP 1998 VLDB 4.9793485e-05
13,228 TOPAZ: a Cost-Based, Rule-Driven, Multi-Phase Parallelizer 1998 VLDB 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 15 of 15 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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