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.
Index Terms—Access control management, data as a service (DaaS), data integration, interoperability.
The authors are with the National University of Science and Technology, Islamabad, Pakistan (e-mail: email@example.com).
Cite: Shoohira Aftab, Hammad Afzal, and Amna Khalid, "An Approach for Secure Semantic Data Integration at Data as a Service (DaaS) Layer," International Journal of Information and Education Technology vol. 5, no. 2, pp. 124-130, 2015.