TY - CONF T1 - D-SPARQ: Distributed, Scalable and Efficient RDF Query Engine T2 - Proceedings of the ISWC 2013 Posters & Demonstrations Track Y1 - 2013 A1 - Raghava Mutharaju A1 - Sherif Sakr A1 - Alessandra Sala A1 - Pascal Hitzler ED - Eva Blomqvist ED - Tudor Groza KW - D-SPARQ KW - Distributed Querying KW - Scalable RDF querying KW - SPARQL AB -

We present D-SPARQ, a distributed RDF query engine that combines the MapReduce processing framework with a NoSQL distributed data store, MongoDB. The performance of processing SPARQL queries mainly depends on the efficiency of handling the join operations between the RDF triple patterns. Our system features two unique characteristics that enable efficiently tackling this challenge: 1) Identifying specific patterns of the input queries that enable improving the performance by running different parts of the query in a parallel mode. 2) Using the triple selectivity information for reordering the individual triples of the input query within the identified query patterns. The preliminary results demonstrate the scalability and efficiency of our distributed RDF query engine.

JF - Proceedings of the ISWC 2013 Posters & Demonstrations Track PB - CEUR-WS.org CY - Sydney, Australia VL - 1035 UR - http://ceur-ws.org/Vol-1035/iswc2013_poster_21.pdf ER -