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Automatic Discovery of Attributes in Relational Databases

Summary: Data-driven clustering of relational columns to discover attributes, without external knowledge. Treats the database as a column-relationship graph and partitions it into connected components to form attribute clusters; experiments on real and synthetic data validate schema matching. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4437
Venue
SIGMOD
Year
2011
Pagerank
7.3998323e-05
Overall Rank
3,456 | 76.30%
DOI
10.1145/1989323.1989336

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{zhang_sigmod11,
        title = {{Automatic Discovery of Attributes in Relational Databases}},
        author = {Zhang, Meihui and Hadjieleftheriou, Marios and Ooi, Beng Chin and Procopiuc, Cecilia M. and Srivastava, Divesh},
        series = {{SIGMOD} '11},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1989323.1989336},
        url = {https://dl.acm.org/doi/10.1145/1989323.1989336},
        year = {2011}
}

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