Answering queries using views: A survey
The VLDB Journal — The International Journal on Very Large Data Bases
Constraint-based XML query rewriting for data integration
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Order preserving encryption for numeric data
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Limiting disclosure in hippocratic databases
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
fQuery: SPARQL query rewriting to enforce data confidentiality
DBSec'10 Proceedings of the 24th annual IFIP WG 11.3 working conference on Data and applications security and privacy
A Query Rewriting Approach for Web Service Composition
IEEE Transactions on Services Computing
Resource discovery considering semantic properties in data grid environments
Globe'11 Proceedings of the 4th international conference on Data management in grid and peer-to-peer systems
Optimizing DaaS Web Service Based Data Mashups
SCC '11 Proceedings of the 2011 IEEE International Conference on Services Computing
Communications of the ACM
Interoperability in eHealth systems
Proceedings of the VLDB Endowment
PrivComp: a privacy-aware data service composition system
Proceedings of the 16th International Conference on Extending Database Technology
Secure and privacy-preserving execution model for data services
CAiSE'13 Proceedings of the 25th international conference on Advanced Information Systems Engineering
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Privacy is among the key challenges to data integration in many sectors, including healthcare, e-government, etc. The PAIRSE project aims at providing a flexible, looselycoupled and privacy-preserving data integration system in P2P environments. The project exploits recent Web standards and technologies such asWeb services and ontologies to export data from autonomous data providers as reusable services, and proposes the use of service composition as a viable solution to answer data integration needs on the fly. The project proposed new composition algorithms and service/composition execution models that preserve privacy of data manipulated by services and compositions. The proposed integration system was demonstrated at EDBT 2013 and VLDB 2011.