Data-Driven Understanding and Refinement of Schema Mappings
Summary: Data-driven framework uses examples to understand and refine declarative schema mappings. A set of intuitive operators lets users navigate sources, identify mappings, and distinguish alternatives, enabling quick construction of complex transformations. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ling Ling Yan (IBM)
- 2. Renée J. Miller (University of Toronto)
- 3. Laura M. Haas (IBM)
- 4. Ronald Fagin (IBM)
BibTeX Citation
@inproceedings{yan_sigmod01,
title = {{Data-Driven Understanding and Refinement of Schema Mappings}},
author = {Yan, Ling Ling and Miller, Renée J. and Haas, Laura M. and Fagin, Ronald},
series = {{SIGMOD} '01},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/375663.375729},
url = {https://dl.acm.org/doi/10.1145/375663.375729},
year = {2001}
}
Incoming 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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| 7 | 9,790 | Meta-Mappings for Schema Mapping Reuse | 2019 | VLDB |
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