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SPARQL Query Optimization using Data Structure Approach


Meela D Gareja , Nobel Group of Institution-Junagadh , Gujarat


Linked Data, SPARQL, RDF, Pruning


Linked open data also known as web of linked data is a globally distributed database. This linked data can be queried with SPARQL protocol and RDF query language also known as SPARQL. Our key goal for this topic is to optimize the SPARQL engine with help of basic data structure algorithms. Our approach proposed the optimizing SPARQL engine by cleaning the Ontology file by loss some loss of knowledgebase and the compare the results of SPARQL query processing time on both Ontologies one is cleaned and other one is without cleaned Ontology. We apply the data structure searching algorithms to minimize search space. And after cleaning approach we can optimize loading time of our ontology. The paper gives a brief understanding for the proposed approach.

Other Details

Paper ID: IJSRDV3I40462
Published in: Volume : 3, Issue : 4
Publication Date: 01/07/2015
Page(s): 3418-3419

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