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Decomposition of Distributed Nonmonotonic Multi-Context Systems

  • Seif El-Din Bairakdar
  • Minh Dao-Tran
  • Thomas Eiter
  • Michael Fink
  • Thomas Krennwallner
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6341)

Abstract

Multi-Context Systems (MCS) are formalisms that enable the interlinkage of single knowledge bases, called contexts, via bridge rules. Recently, a fully distributed algorithm for evaluating heterogeneous, nonmonotonic MCS was described in [7]. In this paper, we continue this line of work and present a decomposition technique for MCS which analyzes the topology of an MCS. It applies pruning techniques to get economically small representations of context dependencies. Orthogonal to this, we characterize minimal interfaces for information exchange between contexts, such that data transmissions can be minimized. We then present a novel evaluation algorithm that operates on a query plan which is compiled with topology pruning and interface minimization. The effectiveness of the optimization techniques is demonstrated by a prototype implementation, which uses an off-the-shelf SAT solver and shows encouraging experimental results.

Keywords

Belief State Partial Equilibrium Query Plan Biconnected Component Interface 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-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Seif El-Din Bairakdar
    • 1
  • Minh Dao-Tran
    • 1
  • Thomas Eiter
    • 1
  • Michael Fink
    • 1
  • Thomas Krennwallner
    • 1
  1. 1.Institut für InformationssystemeTechnische Universität WienViennaAustria

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