Schema Summarization
Summary: Formalizes schema summarization around importance and broad information coverage, with algorithms optimizing both under size constraints. Introduces a query-informed quality metric and shows summaries reduce schema-exploration effort for query formulation. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Cong Yu (University of Michigan)
- 2. H. V. Jagadish (University of Michigan)
BibTeX Citation
@article{yu_vldb06,
title = {{Schema Summarization}},
author = {Yu, Cong and Jagadish, H. V.},
journal = {PVLDB},
series = {{VLDB} '06},
pages = {319--330},
year = {2006}
}
Incoming Citations (Sorted by Pagerank)
Showing 17 of 17 citing papers.
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| 1 | 4,198 | Primitives for Workload Summarization and Implications for SQL | 2003 | VLDB |
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