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Privacy Preserving Schema and Data Matching

Summary: Privacy-preserving schema and data matching across sources via a third-party protocol; records are mapped to a vector space to hide raw data and schema, sharing only the matching outcome. Experiments show strong precision/recall and scalable performance for cross-source matching. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3951
Venue
SIGMOD
Year
2007
Pagerank
6.4479393e-05
Overall Rank
4,913 | 66.30%
DOI
10.1145/1247480.1247553

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{scannapieco_sigmod07,
        title = {{Privacy Preserving Schema and Data Matching}},
        author = {Scannapieco, Monica and Figotin, Ilya and Bertino, Elisa and Elmagarmid, Ahmed},
        series = {{SIGMOD} '07},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1247480.1247553},
        url = {https://dl.acm.org/doi/10.1145/1247480.1247553},
        year = {2007}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

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

Rank Cited Paper Year Venue Pagerank
254 Record Linkage: Similarity Measures and Algorithms 2006 SIGMOD 0.00023199211
1,820 Information Sharing Across Private Databases 2003 SIGMOD 9.6791131e-05
4,531 Distributed Privacy Preserving Information Sharing 2005 VLDB 6.6442189e-05
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