Relaxed safeness in Datalog-based policies

  • Authors:
  • Moritz Y. Becker;Jason Mackay

  • Affiliations:
  • Microsoft Research, Redmond;Microsoft Research, Redmond

  • Venue:
  • RuleML'11 Proceedings of the 5th international conference on Rule-based modeling and computing on the semantic web
  • Year:
  • 2011

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Abstract

This paper presents a safeness condition that is more liberal than the one commonly imposed on Datalog, based on classifying predicate arguments into input and output arguments, thereby extending the expressiveness of Datalog-based policy languages. It is also shown that the relaxed safeness condition is a powerful tool for adding important features to such languages.