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Verification of Context-Sensitive Knowledge and Action Bases

  • Diego Calvanese
  • İsmail İlkan Ceylan
  • Marco Montali
  • Ario Santoso
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8761)

Abstract

Knowledge and Action Bases (KABs) have been recently proposed as a formal framework to capture the dynamics of systems which manipulate Description Logic (DL) Knowledge Bases (KBs) through action execution. In this work, we enrich the KAB setting with contextual information, making use of different context dimensions. On the one hand, context is determined by the environment using context-changing actions that make use of the current state of the KB and the current context. On the other hand, it affects the set of TBox assertions that are relevant at each time point, and that have to be considered when processing queries posed over the KAB. Here we extend to our enriched setting the results on verification of rich temporal properties expressed in μ-calculus, which had been established for standard KABs. Specifically, we show that under a run-boundedness condition, verification stays decidable and does not incur in any additional cost in terms of worst-case complexity.We also show how to adapt syntactic conditions ensuring run-boundedness so as to account for contextual information, taking into account context-dependent activation of TBox assertions.

Keywords

Model Check Transition System Action Base Multiagent System Free Variable 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Diego Calvanese
    • 1
  • İsmail İlkan Ceylan
    • 2
  • Marco Montali
    • 1
  • Ario Santoso
    • 1
  1. 1.Free University of Bozen-BolzanoItaly
  2. 2.Technische Universität DresdenGermany

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