Accelerating SPARQL Queries and Analytics on RDF Data

Accelerating SPARQL Queries and Analytics on RDF Data

The complexity of SPARQL queries and RDF applications poses great challenges on distributed RDF management systems. SPARQL workloads are dynamic and con- sist of queries with variable complexities. Hence, systems that use static partitioning su↵er from communication overhead for workloads that gener...

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Bibliographic Details
Main Author: Al-Harbi, Razen
Other Authors: Kalnis, Panos
Language:en
Published: 2016
Subjects:
RDF
SPARQL
Distributed Databases
Parallele Processing
Query Optimization
Adaptive Partitioning
Online Access:Al-Harbi, R. (2016). Accelerating SPARQL Queries and Analytics on RDF Data. KAUST Research Repository. https://doi.org/10.25781/KAUST-HH33E
http://hdl.handle.net/10754/621815

Internet

Al-Harbi, R. (2016). Accelerating SPARQL Queries and Analytics on RDF Data. KAUST Research Repository. https://doi.org/10.25781/KAUST-HH33E
http://hdl.handle.net/10754/621815

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