Partout: A Distributed Engine for Efficient RDF Processing

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Provided by: Cornell University
Topic: Data Management
Format: PDF
The increasing interest in Semantic Web technologies has led not only to a rapid growth of semantic data on the Web but also to an increasing number of backend applications with already more than a trillion triples in some cases. Confronted with such huge amounts of data and the future growth, existing state-of-the-art systems for storing RDF (Resource Description Framework) and processing SPARQL queries are no longer sufficient. In this paper, the authors introduce Partout, a distributed engine for efficient RDF processing in a cluster of machines.
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