| Enabling sovereign information sharing using Web Services |
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International Conference on Management of Data
archive
Proceedings of the 2004 ACM SIGMOD international conference on Management of data
table of contents
Paris, France
SESSION: Industrial sessions: Web Services
table of contents
Pages: 873 - 877
Year of Publication: 2004
ISBN:1-58113-859-8
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Downloads (6 Weeks): 3, Downloads (12 Months): 30, Citation Count: 2
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ABSTRACT
Sovereign information sharing allows autonomous entities to compute queries across their databases in such a way that nothing apart from the result is revealed. We describe an implementation of this model using web services infrastructure. Each site participating in sovereign sharing offers a data service that allows database operations to be applied on the tables they own. Of particular interest is the provision for binary operations such as relational joins. Applications are developed by combining these data services. We present performance measurements that show the promise of a new breed of practical applications based on the paradigm of sovereign information integration.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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SQL Server 2000 Web Services Toolkit. http://www.microsoft.com/sql/techinfo/xml/default.asp, 2003.
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UDDI Spec Technical Committee Specification. http://uddi.org/pubs/uddi_v3.htm, Oct. 2003.
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Philip A. Bernstein , Nathan Goodman , Eugene Wong , Christopher L. Reeve , James B. Rothnie, Jr., Query processing in a system for distributed databases (SDD-1), ACM Transactions on Database Systems (TODS), v.6 n.4, p.602-625, Dec. 1981
[doi> 10.1145/319628.319650]
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CITED BY 2
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Bishwaranjan Bhattacharjee , Naoki Abe , Kenneth Goldman , Bianca Zadrozny , Vamsavardhana R. Chillakuru , Marysabel del Carpio , Chid Apte, Using secure coprocessors for privacy preserving collaborative data mining and analysis, Proceedings of the 2nd international workshop on Data management on new hardware, June 25-25, 2006, Chicago, Illinois
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