Mar 4, 2016 · This is a review paper giving analysis of techniques implemented to achieve the aim of semantic web, various approaches to processes RDF data.
This thesis is meant to provide an insight into the Map Reduce based join operation, RDF data handling and bloom filter in terms of complex query processing.
The proposed SPARQL query processing is evaluated over large RDF datasets. The proposed approach's evaluation results are analyzed with the existing approaches, ...
Since query processing is far more efficient in RDF- stores than in Hadoop, we push as much of processing as possible into RDF-stores and leave the rest for ...
We propose techniques for processing SPARQL queries over a large RDF graph in a distributed environment. We adopt a "partial evaluation and assembly" ...
May 28, 2015 · This paper proposes an architecture based on Presto, called Presto-RDF, that can be used to process big RDF data. An evaluation of performance ...
Nov 27, 2019 · In this paper, we demonstrate that the system primarily considers querying for large-scale RDF data efficiently in the distributed environment.
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Jun 24, 2019 · Abstract: Resource Description Framework(RDF) is a data representation format of the Semantic Web, and its data volume is growing rapidly.
In this paper, we present S2RDF, a distributed Hadoop- based SPARQL query processor for large-scale RDF data implemented on top of Spark. It comes with a novel ...
Dec 23, 2021 · This paper proposes a new distributed SPARQL query processing scheme considering communication costs in Spark environments to reduce I/O costs during SPARQL ...