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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
3889
Venue
SIGMOD
Year
2007
Pagerank
6.1042536e-05
Overall Rank
4,537 | 68.44%
DOI
-

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

Rank Cited Paper Year Venue Pagerank
322 Record Linkage: Similarity Measures and Algorithms 2006 SIGMOD 0.00027518768
1,862 Information Sharing Across Private Databases 2003 SIGMOD 0.00010286859
4,170 Distributed Privacy Preserving Information Sharing 2005 VLDB 6.3899742e-05
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