Proceedings of the Second Symposium on Usable Privacy and Security - SOUPS '06 2006
DOI: 10.1145/1143120.1143123
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An empirical study of natural language parsing of privacy policy rules using the SPARCLE policy workbench

Abstract: 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 ma… Show more

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Cited by 112 publications
(71 citation statements)
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“…They allow to reformulate rules in a way that is still readable for the user and is easier to formalize than NL. In the Business Rules domain, CLs are used in Oracle Policy Modeling Suite 3 , in IBM SPARCLE policy workbench [4]. Other in use controlled languages have been described by RuleSpeak [16], by Atempto Controlled English (http://attempto.ifi.uzh.ch/site/docs/).…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…They allow to reformulate rules in a way that is still readable for the user and is easier to formalize than NL. In the Business Rules domain, CLs are used in Oracle Policy Modeling Suite 3 , in IBM SPARCLE policy workbench [4]. Other in use controlled languages have been described by RuleSpeak [16], by Atempto Controlled English (http://attempto.ifi.uzh.ch/site/docs/).…”
Section: Related Workmentioning
confidence: 99%
“…SBVR (Semantics of Business Vocabulary and Rules) can be seen as a synthesis of several efforts and a standard independent of English or any natural language. It has been accepted by the OMG (Object Management Group) 4 . We refer to the English version of SBVR CL, namely SBVR Structured English (SBVR-SE).…”
Section: Related Workmentioning
confidence: 99%
“…The parameters of external events take values in the following domains: The main domains are defined as follows 8 :…”
Section: Compliancementioning
confidence: 99%
“…However our main target is the definition of privacy policies (by subjects as well as controllers) and their correct implementation (as opposed to the analysis or translation of regulations in [6], [7] and [26]). We also share with the Sparcle project ( [8] and [17]) the objective of assisting users to edit privacy policies expressed in a natural language but the user interface issues have been left outside the scope of this paper.…”
Section: Related Workmentioning
confidence: 99%
“…Past applications of NLP have sought to parse privacy policies into machine-readable representations (Brodie et al, 2006) or extract subpolicies from larger documents (Xiao et al, 2012). Machine learning has been applied to assess certain attributes of policies (Costante et al, 2012;Ammar et al, 2012;Costante et al, 2013;Zimmeck and Bellovin, 2013).…”
Section: Introductionmentioning
confidence: 99%