Quotation M. Giménez-García, José, Fernandez Garcia, Javier David, A. Martínez-Prieto, Miguel. 2014. MapReduce-based Solutions for Scalable SPARQL Querying. Open Journal of Semantic Web (OJSW) 1 (1): 1-18.




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.


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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Open Journal of Semantic Web (OJSW)
Language English
Title MapReduce-based Solutions for Scalable SPARQL Querying
Volume 1
Number 1
Year 2014
Page from 1
Page to 18
URL http://dataweb.infor.uva.es/wp-content/uploads/2014/03/ojsw14.pdf


Fernandez Garcia, Javier David (Former researcher)
A. Martínez-Prieto, Miguel
M. Giménez-García, José
Institute for Data, Process and Knowledge Management (AE Polleres) (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
1108 Informatics (Details)
1109 Information and data processing (Details)
5367 Management information systems (Details)
5937 Information systems (Details)
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