Semantic Adaptation of Schema Mappings when Schemas Evolve
Summary: Semantic adaptation of schema mappings under evolution via mapping composition, preserving semantics of both original and evolved mappings. Implements a practical adaptation system with pruning, outperforming incremental approaches on nested-relational second-order dependencies within a model-management framework. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Cong Yu (University of Michigan)
- 2. Lucian Popa (IBM)
BibTeX Citation
@article{yu_vldb05,
title = {{Semantic Adaptation of Schema Mappings when Schemas Evolve}},
author = {Yu, Cong and Popa, Lucian},
journal = {PVLDB},
series = {{VLDB} '05},
year = {2005}
}
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| 4 | 1,770 | Supporting Executable Mappings in Model Management | 2005 | SIGMOD |
| 5 | 3,341 | Designing and Refining Schema Mappings via Data Examples | 2011 | SIGMOD |
| 6 | 9,790 | Meta-Mappings for Schema Mapping Reuse | 2019 | VLDB |
| 7 | 685 | Composing Schema Mappings: Second-Order Dependencies to the Rescue | 2004 | PODS |
| 8 | 2,352 | Implementing Mapping Composition | 2006 | VLDB |
| 9 | 7,859 | Foundations of Schema Mapping Management | 2010 | PODS |
| 10 | 4,181 | Mapping Adaptation under Evolving Schemas | 2003 | VLDB |