2013Unpublished venueRequires access

Sparqling kleene

Andrey Gubichev, Srikanta Bedathur, Stephan Seufert

Open publisher page 43 citations

Abstract

As Semantic Web efforts continue to gather steam, the RDF engines are faced with graphs with millions of nodes and billions of edges. While much recent work in addressing the resulting scalability issues in processing queries over these datasets have mainly considered SPARQL 1.0, the next-generation query language recommendations have proposed the addition of regular expression restricted navigation queries into SPARQL. We address the problem of supporting efficient processing of property paths into RDF-3X -- a high-performance RDF engine.

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What this paper is about

As Semantic Web efforts continue to gather steam, the RDF engines are faced with graphs with millions of nodes and billions of edges. While much recent work in addressing the resulting scalability issues in processing queries over these datasets have mainly considered SPARQL 1.0, the next-generation query language recommendations have proposed the addition of regular expression restricted navigation queries into SPARQL. We address the problem of supporting efficient processing of property paths into RDF-3X -- a high-performance RDF engine.

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OpenAlex reports 43 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

As Semantic Web efforts continue to gather steam, the RDF engines are faced with graphs with millions of nodes and billions of edges. While much recent work in addressing the resulting scalability issues in processing queries over these datasets have mainly considered SPARQL 1.0, the next-generation query language recommendations have proposed the addition of regular expression restricted navigation queries into SPARQL. We address the problem of supporting efficient processing of property paths into RDF-3X -- a high-performance RDF engine.

Key concepts: SPARQL, RDF, Computer science, Named graph, Scalability, RDF Schema, RDF/XML, Semantic Web

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