Special report: legal safeguards to insure privacy in a computer society
Communications of the ACM
Physics of Service Composition
IEEE Internet Computing
The semantic web: yet another hip?
Data & Knowledge Engineering - DKE 40
Enabling sovereign information sharing using Web Services
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Privacy-preserving data integration and sharing
Proceedings of the 9th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery
Privacy-Preserving Top-k Queries
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Declarative Data Services: This Is Your Data on SOA
SOCA '07 Proceedings of the IEEE International Conference on Service-Oriented Computing and Applications
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Limiting disclosure in hippocratic databases
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Anonymity in data publishing and distribution
Anonymity in data publishing and distribution
Deploying and managing Web services: issues, solutions, and directions
The VLDB Journal — The International Journal on Very Large Data Bases
Composing and optimizing data providing web services
Proceedings of the 17th international conference on World Wide Web
Artemis: Deploying semantically enriched Web services in the healthcare domain
Information Systems
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Recent years have witnessed a growing interest in using Web services as a reliable means for medical data sharing inside and across healthcare organizations. In such service-based data sharing environments, Web service composition emerged as a viable approach to query data scattered across independent locations. Patient data privacy preservation is an important aspect that must be considered when composing medical Web services. In this paper, the authors show how data privacy can be preserved when composing and executing Web services. Privacy constraints are expressed in the form of RDF queries over a mediated ontology. Query rewriting algorithms are defined to process those queries while preserving users' privacy.