MapReduce-based Solutions for Scalable SPARQL Querying

José M. Giménez-García, Javier David Fernandez Garcia, Miguel A. Martínez-Prieto

Publikation: Wissenschaftliche FachzeitschriftOriginalbeitrag in FachzeitschriftForschungBegutachtung


The use of RDF to expose semantic data on the Web has seen a dramatic increase over the last few years. Nowadays, RDF datasets are so big and interconnected that, in fact, classical mono-node solutions present significant scalability problems when trying to manage big semantic data. MapReduce, a standard framework for distributed processing of great quantities of data, is earning a place among the distributed solutions facing RDF scalability issues. In this article, we survey the most important works addressing RDF management and querying through
diverse MapReduce approaches, with a focus on their main strategies, optimizations and results.
Seiten (von - bis)1 - 18
FachzeitschriftOpen Journal of Semantic Web (OJSW)
PublikationsstatusVeröffentlicht - 1 Apr. 2014

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