D-SPARQ: Distributed, Scalable and Efficient RDF Query Engine

Authors

Raghava Mutharaju
Sherif Sakr
Alessandra Sala
Pascal HitzlerFollow

Document Type

Conference Proceeding

Publication Date

10-23-2013

Abstract

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.

Comments

Presented at the 12th International Semantic Web Conference Posters and Demonstrations Track, Sydney, Australia, October 23, 2013.

Repository Citation

Mutharaju, R., Sakr, S., Sala, A., & Hitzler, P. (2013). D-SPARQ: Distributed, Scalable and Efficient RDF Query Engine. CEUR Workshop Proceedings, 261-264.
https://corescholar.libraries.wright.edu/cse/223