Authors:
Amin Cherbal
1
and
Djamal Benslimane
2
Affiliations:
1
LIG Laboratory, France
;
2
LIRIS Laboratory, France
Keyword(s):
Privacy, Data integration, Web services, Composition techniques, Data anonymity.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Cloud Computing
;
Communication and Software Technologies and Architectures
;
Computer-Supported Education
;
Data Engineering
;
Distributed and Mobile Software Systems
;
Distributed Architectures
;
e-Business
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Information Technologies Supporting Learning
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Mobile and Pervasive Computing
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Security and Privacy
;
Semantic Web Technologies
;
Services Science
;
Software Agents and Internet Computing
;
Software Engineering
;
Symbolic Systems
;
Telecommunications
Abstract:
Web services are increasingly used to promote data sharing in collaborative environments such as eBusiness, eHealth, eEnterprise, etc. They facilitate data integration and interoperability across autonomous independent information systems in the collaboration environments. Many mediation solutions were proposed for data integration using Web services. Unfortunately privacy aspects were not addressed in these solutions. In this paper, we proposed a framework for privacy-preserving data integration based on Web services. Our proposal is a centralized access control mechanism allowing for the specification and enforcement of privacy rules in Web services composition based on domain ontologies.