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.


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Abstract

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

Associations

People
Fernandez Garcia, Javier David (Details)
External
A. Martínez-Prieto, Miguel
M. Giménez-García, José
Organization
Applied Information Technology (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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