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Large Scale and Big Data
book

Large Scale and Big Data

by Sherif Sakr, Mohamed Gaber
June 2014
Intermediate to advanced content levelIntermediate to advanced
636 pages
23h 13m
English
Auerbach Publications
Content preview from Large Scale and Big Data
161Large-Scale RDF Processing with MapReduce
applied to the default graph. The graph operator can be used to apply a pattern to
one or all of the named graphs. A named graph is referenced by an unique URI,
and for each graph that is used in the query, we need a pair (URI, graph) that speci-
es where to nd the corresponding RDF graph. If a variable is used in the Graph
operator instead of a specic graph URI, the pattern must be applied to all named
graphs.
As we want to execute SPARQL queries on large RDF graphs in a MapReduce
cluster, all graphs must be stored in the distributed le system. Applying a pattern
to one of the named graphs with ...
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Publisher Resources

ISBN: 9781466581500