Decomposition of Distributed Nonmonotonic Multi-Context Systems [chapter]

Seif El-Din Bairakdar, Minh Dao-Tran, Thomas Eiter, Michael Fink, Thomas Krennwallner
<span title="">2010</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
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
more &raquo; ... terize 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.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-15675-5_5">doi:10.1007/978-3-642-15675-5_5</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dbd3uglu5na5dd5qv35xsyqns4">fatcat:dbd3uglu5na5dd5qv35xsyqns4</a> </span>
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