Optimisation of SPARQL queries over the RDF data in the cloud environment Online publication date: Wed, 01-Mar-2023
by C. Ranichandra Dharmaraj; B.K. Tripathy
International Journal of Advanced Intelligence Paradigms (IJAIP), Vol. 24, No. 3/4, 2023
Abstract: The semantic web is built with the support of resource description framework (RDF). The changing faces of semantic web created the requirement of new approaches to store and query the RDF data. The RDF data contains large volume of data that have more number of binding. Processing the SPARQL queries over the RDF data in the cloud creates some challenges. The network cost and query processing time highly impacted the performance of queries over the cloud. This paper proposed an optimisation algorithm for query processing in the large datasets. The proposed algorithm considered the parallel execution of queries as a major objective to reduce the network cost as well as to minimise the response time of the query. The experimental evaluation is carried using the LUBM 400 university dataset along with the hardware rented with Amazon web services. The proposed algorithm proved their efficiency in terms of reducing the query response time and minimising the network traffic.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Advanced Intelligence Paradigms (IJAIP):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook