An empirical study of natural language parsing of privacy policy rules using the SPARCLE policy workbench

Today organizations do not have good ways of linking their written privacy policies with the implementation of those policies. To assist organizations in addressing this issue, our humancentered research has focused on understanding organizational privacy management needs, and, based on those needs, creating a usable and effective policy workbench called SPARCLE. SPARCLE will enable organizational users to enter policies in natural language, parse the policies to identify policy elements and then generate a machine readable (XML) version of the policy. In the future, SPARCLE will then enable mapping of policies to the organization’s configuration and provide audit and compliance tools to ensure that the policy implementation operates as intended. In this paper, we present the strategies employed in the design and implementation of the natural language parsing capabilities that are part of the functional version of the SPARCLE authoring utility. We have created a set of grammars whic...

• Type: Conference
• Year: 2006
• Where: SOUPS
• Authors: Carolyn Brodie, Clare-Marie Karat, John Karat
• Keywords: Natural Language, Privacy Policies, SOUPS 2006, SPARCLE