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Semantic Reasoning with SPARQL in Heterogeneous Multi-context Systems

  • Peter Schüller
  • Antonius Weinzierl
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 83)

Abstract

Multi-Context Systems (MCSs) are an expressive framework for interlinking heterogeneous knowledge systems, called contexts. Possible contexts are ontologies, relational databases, logic programs, RDF triplestores, etc. MCSs contain bridge rules to specify knowledge exchange between contexts. We extend the MCS formalism and propose SPARQL-MCS where knowledge exchange is specified in the style of SPARQL CONSTRUCT queries. Different from previous approaches to variables in MCSs, we do not impose any restrictions on contexts. To achieve this, we introduce a general approach for variable substitutions in heterogeneous systems. We define syntax and semantics of SPARQL-MCS and investigate fixpoint evaluation of monotonic MCSs.

Keywords

Description Logic Belief State SPARQL Query Variable Substitution Semantic Reasoning 
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 2011

Authors and Affiliations

  • Peter Schüller
    • 1
  • Antonius Weinzierl
    • 1
  1. 1.Institut für InformationssystemeTechnische Universität WienViennaAustria

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