Sample-Driven Schema Mapping
Summary: MWEAVER: real-time, sample-driven schema mapping from target samples via a spreadsheet interface; no explicit attribute matches. Algorithms infer mappings while masking schema semantics, yielding results about 5x faster than prior tools in user studies. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Li Qian (University of Michigan)
- 2. Michael J. Cafarella (University of Michigan)
- 3. H. V. Jagadish (University of Michigan)
BibTeX Citation
@inproceedings{qian_sigmod12,
title = {{Sample-Driven Schema Mapping}},
author = {Qian, Li and Cafarella, Michael J. and Jagadish, H. V.},
series = {{SIGMOD} '12},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2213836.2213846},
url = {https://dl.acm.org/doi/10.1145/2213836.2213846},
year = {2012}
}
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