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Various computing and data resources on the web are being enhanced with machine-interpretable semantic descriptions to facilitate better search, discovery and integration. This interconnected metadata constitutes the semantic web, whose volume can potentially grow the scale of the web. Efficient management of semantic web data, expressed using the w3c's Resource Description Framework (RDF), is crucial for supporting new data-intensive, semantics-enabled applications. In this paper, the authors study and compare two approaches to distributed RDF data management based on emerging cloud computing technologies and traditional relational database clustering technologies.
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