Controlled natural language policies

Policy languages allow users to define in a flexible way under which conditions their data can be shared and with whom. Nonetheless policy languages are not widely used yet: one reason for this is that they are too complex to be easily exploited by common users in a profitable way. This paper describes an approach that uses (controlled) natural language in order to express policies, therefore allowing non-computer experts to easily specify, refine and understand policies.

[1]  Wolfgang Nejdl,et al.  Access Control for Sharing Semantic Data across Desktops , 2007, PEAS.

[2]  Kaarel Kaljurand,et al.  Attempto Controlled English for Knowledge Representation , 2008, Reasoning Web.

[3]  Tobias Kuhn,et al.  Writing Support for Controlled Natural Languages , 2008, ALTA.

[4]  Piero A. Bonatti,et al.  Advanced Policy Explanations on the Web , 2006, ECAI.

[5]  Piero A. Bonatti,et al.  Driving and monitoring provisional trust negotiation with metapolicies , 2005, Sixth IEEE International Workshop on Policies for Distributed Systems and Networks (POLICY'05).

[6]  Catherine Dolbear,et al.  A Comparison of three Controlled Natural Languages for OWL 1.1 , 2008, OWLED.

[7]  Juri Luca De Coi,et al.  A Review of Trust Management, Security and Privacy Policy Languages , 2016, SECRYPT.

[8]  Nahid Shahmehri,et al.  Privacy in the Semantic Web: What Policy Languages Have to Offer , 2007, Eighth IEEE International Workshop on Policies for Distributed Systems and Networks (POLICY'07).

[9]  Morris Sloman,et al.  Policy driven management for distributed systems , 1994, Journal of Network and Systems Management.

[10]  Nicola Henze,et al.  Enabling Advanced and Context-Dependent Access Control in RDF Stores , 2007, ISWC/ASWC.

[11]  Arne Wolf Koesling,et al.  Control Your eLearning Environment: Exploiting Policies in an Open Infrastructure for Lifelong Learning , 2008, IEEE Transactions on Learning Technologies.