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The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Information sharing across private databases

Agrawal, Rakesh, Evfimievski, Alexandre, Srikant, Ramakrishnan·2003·Proceedings of the 2003 ACM SIGMOD international conference on Management of data

Abstract

Literature on information integration across databases tacitly assumes that the data in each database can be revealed to the other databases. However, there is an increasing need for sharing information across autonomous entities in such a way that no information apart from the answer to the query is revealed. We formalize the notion of minimal information sharing across private databases, and develop protocols for intersection, equijoin, intersection size, and equijoin size. We also show how new applications can be built using the proposed protocols.

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Metadata

Authors
Agrawal, R., Evfimievski, A., & Srikant, R.
Venue
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Publisher
ACM
Published
2003-06-09
Pages
86-97
ISSN
0730-8078 (ISSN-L)
OpenAlex
W2139979322
Cited by
634
References
2
FWCI
23.81
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Information sharing across private databases. https://app.cochat.ai/papers/10.1145/872757.872771
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Agrawal, R., Evfimievski, A., & Srikant, R. (2003). Information sharing across private databases. Proceedings of the 2003 ACM SIGMOD international conference on Management of data. https://doi.org/10.1145/872757.872771

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.