A Policy Driven Semantic Approach to Data Usage Management

Abstract

As the amount of information available on the web has increased, several privacy and security issues around the use of such information have arisen. Government (and private) entities are able to gather and analyze data from several disparate sources with ease. This ability to do large scale analytics of publicly accessible data leads to significant privacy concerns, especially when done by governments. The converse is also true, with concerns about data being shared by individuals and organizations to the web and the cloud. Our work develops a semantically rich, policy driven approach to address the privacy, security and usage concerns around such data.