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DSOM '09 Proceedings of the 20th IFIP/IEEE International Workshop on Distributed Systems: Operations and Management: Integrated Management of Systems, Services, Processes and People in IT
Towards consistency of policy states in decentralized autonomic network management
POLICY'09 Proceedings of the 10th IEEE international conference on Policies for distributed systems and networks
Cue: a framework for generating meaningful feedback in XACML
Proceedings of the 3rd ACM workshop on Assurable and usable security configuration
Analyzing the AIR language: a semantic web (production) rule language
RR'10 Proceedings of the Fourth international conference on Web reasoning and rule systems
A self-policing policy language
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
Enterprise data classification using semantic web technologies
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part II
Editorial: Using OWL and SWRL to represent and reason with situation-based access control policies
Data & Knowledge Engineering
Rule-based trust assessment on the semantic web
RuleML'2011 Proceedings of the 5th international conference on Rule-based reasoning, programming, and applications
ShareAlike your data: self-referential usage policies for the semantic web
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
Usage policies for document compositions
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part II
Datalog for security, privacy and trust
Datalog'10 Proceedings of the First international conference on Datalog Reloaded
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Explanations for decisions made by a policy framework allow end users to understand how the results were obtained, increase trust in the policy decision and enforcement process, and enable policy administrators to ensure the correctness of the policy. In our framework, an explanation for any statement including a policy decision is a representation of the list of reasons (known as dependencies) associated with its derivation. Dependency tracking involves maintaining the list of reasons (statements and rules) for the derivation of a new statement. In this paper, we describe our policy approach that (i) provides explanations for policy decisions, (ii) provides more efficient and expressive reasoning through the use of nested sub-rules and goal direction, and (iii) is grounded in Semantic Web technologies. We discuss the characteristics of our approach and provide a brief overview of the AIR policy language that implements it. We also discuss how relevant explanation information is identified and presented to end users and describe our preliminary graphical user interface.