Scientific Journal of Informatics
Vol 6, No 1 (2019): Mei 2019

Dataset Characteristics Identification for Federated SPARQL Query

Rakhmawati, Nur Aini (Unknown)
Fadzilah, Lutfi Nur (Unknown)



Article Info

Publish Date
24 May 2019

Abstract

Nowadays, the amount of data published in the RDF format is increasing. Federated SPARQL query engines that can query from multiple distributed SPARQL endpoints have been developed recently. A federated query engine usually has different performance compared to the others. One of the factors that affect the performance of the query engine is the characteristic of the accessed RDF dataset, such as the number of triples, the number of classes, the number of properties, the number of subjects, the number of entities, the number of objects, and the spreading factor of a dataset. The aim of this work is to identify the characteristic of RDF dataset and create a query set for evaluating a federated engine.  The study was conducted by identifying 16 datasets that used by ten research papers in Linked Data area.

Copyrights © 2019






Journal Info

Abbrev

SJI

Publisher

Subject

Computer Science & IT

Description

Scientific Journal of Informatics published by the Department of Computer Science, Semarang State University, a scientific journal of Information Systems and Information Technology which includes scholarly writings on pure research and applied research in the field of information systems and ...