The increasing interest in SemanticWeb technologies has led not only to a rapid growth of semantic data on the Web but also to an increasing number of backend applications relying on efficient query processing. Confronted with such a trend, existing centralized state-of-the-art systems for storing RDF and processing SPARQL queries are no longer sufficient. In this paper, we introduce Partout, a distributed engine for fast RDF processing in a cluster of machines. We propose an effective approach for fragmenting RDF data sets based on a query log and allocating the fragments to hosts in a cluster of machines. Furthermore, Partout's query optimizer produces efficient query execution plans for ad-hoc SPARQL queries.
CITATION STYLE
Galárraga, L., Hose, K., & Schenkel, R. (2014). Partout: A distributed engine for efficient RDF processing. In WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web (pp. 267–268). Association for Computing Machinery, Inc. https://doi.org/10.1145/2567948.2577302
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