Tree queries: a simple class of relational queries
ACM Transactions on Database Systems (TODS)
The complexity of acyclic conjunctive queries
Journal of the ACM (JACM)
Principles of Database and Knowledge-Base Systems: Volume II: The New Technologies
Principles of Database and Knowledge-Base Systems: Volume II: The New Technologies
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
ACM SIGOPS Operating Systems Review
Optimal implementation of conjunctive queries in relational data bases
STOC '77 Proceedings of the ninth annual ACM symposium on Theory of computing
POLICY '03 Proceedings of the 4th IEEE International Workshop on Policies for Distributed Systems and Networks
An Artificial Intelligence Perspective on Autonomic Computing Policies
POLICY '04 Proceedings of the Fifth IEEE International Workshop on Policies for Distributed Systems and Networks
POLICY '08 Proceedings of the 2008 IEEE Workshop on Policies for Distributed Systems and Networks
Using Dependency Tracking to Provide Explanations for Policy Management
POLICY '08 Proceedings of the 2008 IEEE Workshop on Policies for Distributed Systems and Networks
Advanced Policy Explanations on the Web
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Policy-Aware Content Reuse on the Web
ISWC '09 Proceedings of the 8th International Semantic Web Conference
A Rule-Based Trust Negotiation System
IEEE Transactions on Knowledge and Data Engineering
Rules with contextually scoped negation
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research 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
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Formal policies allow the non-ambiguous definition of situations in which usage of certain entities are allowed, and enable the automatic evaluation whether a situation is compliant. This is useful for example in applications using data provided via standardized interfaces. The low technical barriers of integrating such data sources is in contrast to the manual evaluation of natural language policies as they currently exist. Usage situations can themselves be regulated by policies, which can be restricted by the policy of a used entity. Consider for example the Google Maps API, which requires that applications using the API must be available without a fee, i.e. the application's policy must not require a payment. In this paper we present a policy language that can express such constraints on other policies, i.e. a self-policing policy language. We validate our approach by realizing a use case scenario, using a policy engine developed for our language.