Semantic reasoning with SPARQL in heterogeneous multi-context systems

1Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.

This article is free to access.

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. © 2011 Springer-Verlag.

Cite

CITATION STYLE

APA

Schüller, P., & Weinzierl, A. (2011). Semantic reasoning with SPARQL in heterogeneous multi-context systems. In Lecture Notes in Business Information Processing (Vol. 83 LNBIP, pp. 575–585). Springer Verlag. https://doi.org/10.1007/978-3-642-22056-2_59

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free