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Laconic Schema Mappings: Computing the Core with SQL Queries

Summary: Proposes laconic schema mappings to compute the core of s-t tgds in SQL, avoiding extra minimization. Relies on a linear order over the source domain to translate to the core; this order is necessary and target constraints block laconic rewrites. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9917
Venue
VLDB
Year
2009
Pagerank
5.8242173e-05
Overall Rank
6,815 | 52.64%
DOI
-

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Showing 8 of 8 cited papers.

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

Rank Cited Paper Year Venue Pagerank
24 Data Integration: A Theoretical Perspective 2002 PODS 0.00055410952
393 Data Exchange: Getting to the Core 2003 PODS 0.00019403954
478 Clio Grows Up: From Research Prototype to Industrial Tool 2005 SIGMOD 0.0001784101
912 A Scalable Algorithm for Answering Queries Using Views 2000 VLDB 0.00013338177
2,474 HePToX: Marrying XML and Heterogeneity in Your P2P Databases 2005 VLDB 8.6083246e-05
2,746 Nested Mappings: Schema Mapping Reloaded 2006 VLDB 8.2363127e-05
4,149 Core Schema Mappings 2009 SIGMOD 6.9321726e-05
4,568 Towards a Theory of Schema-Mapping Optimization 2008 PODS 6.6950448e-05
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