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In the context of the Cloud of Linked Data, a large number of huge RDF linked datasets have become available, and this number keeps growing. Simultaneously, scalable and efficient RDF engines that follow the traditional optimize-then-execute paradigm have been developed to locally access RDF data, and SPARQL endpoints have been implemented for remote query processing. However, given the size of existing datasets, lack of statistics to describe available sources, and unpredictable conditions of remote queries, existing solutions are still insufficient.
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