International Journal of
Information and Education Technology

Abstract

Data integration provides a uniform view of a set of heterogeneous data sources and facilitates users to query without any knowledge of the underlying heterogeneous data sources. In current era, Service Oriented Architecture and Cloud computing together has enabled users to access services over the Internet at a low cost. Cloud computing model provides a layer which is responsible for providing data to the other layers and services i.e., Data as a service (DaaS) layer. The issue of providing an integrated view of data can be handled using Semantic data; the data stored in a way that is understandable by machines and integratable without human intervention. However, integrating data using semantic web technology without enforcing any access management will raise privacy and confidentiality concerns. Different data owners store data in heterogeneous format based on their requirements. This leads to the data interoperability problem. This research proposes a framework that would allow data from different sources to be integrated using the concept of semantic data, thus resolving the issue of interoperability and also devises an access control system for defining explicit privacy constraints.