%0 Conference Paper %B Proceedings of the ISWC 2013 Posters & Demonstrations Track %D 2013 %T D-SPARQ: Distributed, Scalable and Efficient RDF Query Engine %A Raghava Mutharaju %A Sherif Sakr %A Alessandra Sala %A Pascal Hitzler %E Eva Blomqvist %E Tudor Groza %K D-SPARQ %K Distributed Querying %K Scalable RDF querying %K SPARQL %X

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.

%B Proceedings of the ISWC 2013 Posters & Demonstrations Track %I CEUR-WS.org %C Sydney, Australia %V 1035 %P 261–264 %G eng %U http://ceur-ws.org/Vol-1035/iswc2013_poster_21.pdf