A Framework for SPARQL Query Processing, Optimization and Execution with Illustrations

Authors

  • Sanjay Kumar Malik University School of Information Technology, GGS Indraprastha University, New Delhi
  • SAM Rizvi Deptt. of Computer Science,Jamia Millia Islamia, New Delhi

Keywords:

RDF, SPARQL, Query Processing, Optimization, Execution, JENA ARQ, TWINKLE, Eclipse

Abstract

The vision of Semantic web is to allow intelligent description and interchange of integrated data from various distributed web resources. A structure for this metadata on web is known as Resource Description Framework (RDF) where data is in the form of XML (Extended Markup Language). A query language is used to retrieve such large RDF data effectively and efficiently which is known as SPARQL (Standard Protocol and RDF Query Language) which involves Query Processing, Optimization and Execution. In this paper, we propose a framework for SPARQL Query Processing, Optimization and Execution with various SPARQL illustrations in Twinkle and Jena ARQ. A “Furniture RDF” has been illustrated with “Filtering RDF using Twinkle” and “Filtering RDF using Jena ARQ on Eclipse” based on Java source code obtained after executing Eclipse.

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Published

2012-04-01

How to Cite

Sanjay Kumar Malik, & SAM Rizvi. (2012). A Framework for SPARQL Query Processing, Optimization and Execution with Illustrations. International Journal of Computer Information Systems and Industrial Management Applications, 4, 11. Retrieved from https://cspub-ijcisim.org/index.php/ijcisim/article/view/167

Issue

Section

Original Articles