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• W2206234865 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 rconnected 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." @default.
• W2206234865 created "2016-06-24" @default.
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• W2206234865 date "2014-01-01" @default.
• W2206234865 modified "2023-09-28" @default.
• W2206234865 title "MapReduce-based Solutions for Scalable SPARQL Querying" @default.
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