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.
BibTeX
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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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 (Former researcher)
- External
- A. Martínez-Prieto, Miguel
- M. Giménez-García, José
- Organization
- 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)