Algebra of RDF Graphs for Querying Large-Scale Distributed Triple-Store

Abstract : Large-scale RDF graph databases stored in shared-nothing clusters require query processing engine that can effectively exploit highly parallel computation environment. We propose algebra of RDF graphs and its physical counterpart, physical algebra of RDF graphs, designed to implement queries as distributed dataflow programs that run on cluster of servers. Operations of algebra reflect the characteristic features of RDF graph data model while they are tied to the technology provided by relational query execution systems. Algebra of RDF graphs allows for the expression of pipelined and partitioned parallelism. Preliminary experimental results show that proposed algebra and architecture of query execution system scale well with large clusters of data servers.
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Francesco Buccafurri; Andreas Holzinger; Peter Kieseberg; A Min Tjoa; Edgar Weippl. International Conference on Availability, Reliability, and Security (CD-ARES), Aug 2016, Salzburg, Austria. Springer International Publishing, Lecture Notes in Computer Science, LNCS-9817, pp.3-18, 2016, Availability, Reliability, and Security in Information Systems. 〈10.1007/978-3-319-45507-5_1〉
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Iztok Savnik, Kiyoshi Nitta. Algebra of RDF Graphs for Querying Large-Scale Distributed Triple-Store. Francesco Buccafurri; Andreas Holzinger; Peter Kieseberg; A Min Tjoa; Edgar Weippl. International Conference on Availability, Reliability, and Security (CD-ARES), Aug 2016, Salzburg, Austria. Springer International Publishing, Lecture Notes in Computer Science, LNCS-9817, pp.3-18, 2016, Availability, Reliability, and Security in Information Systems. 〈10.1007/978-3-319-45507-5_1〉. 〈hal-01635004〉

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