TY  - JOUR
TI  - MapReduce-based Solutions for Scalable SPARQL Querying
AB  - 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.
AF  - MapReduce-based Solutions for Scalable SPARQL Querying
SP  - 1
EP  - 18
UR  - http://dataweb.infor.uva.es/wp-content/uploads/2014/03/ojsw14.pdf
PY  - 2014-04-01
JO  - Open Journal of Semantic Web (OJSW)
AU  - M. Giménez-García, José 
AU  - Fernandez Garcia, Javier David 
AU  - A. Martínez-Prieto, Miguel 
ER -