Efficient distributed regular path queries on RDF graphs using partial evaluation
We propose an efficient distributed method for answering regular path queries (RPQs) on large-scale RDF graphs using partial evaluation. In local computation, we devise a dynamic programming approach to evaluate local and partial answers of an RPQ on each computing site in parallel. In the assembly phase, an automata-based algorithm is proposed to assemble the partial answers of the RPQ into the final results. The experiments on benchmark RDF graphs show that our method outperforms the state-of-the-art message passing methods by up to an order of magnitude.
Proceedings of the 25th ACM International on Conference on Information and Knowledge Management
Information and Computing Sciences not elsewhere classified