NTOLOGY REPOSITRY IMPROVE THE SPARQL BASED PERFORMANCE USING STORAGE INDEPENDENT MODEL

Abstract

Ontology is a learning store in which ideas and terms are characterized and connected between the ideas.
Ontology's undertakes and seeks for a comparative example of content that to be more viable, proficient and intuitive. The
technique for gathering the results and recommendations is extended with determination that is planned by using Ontology
based text mining method. The performance evaluation of an independency of ‘Storage model’ is applied in SPARQL-to-SQL
Translation algorithms. In specific query language OWL is established on relational database (RDB) for scanning and
managing Web Ontology data. In several recommended query languages, SPARQL is the considered with high significant.
SPARQL cannot be a solution to scan information on RDB. In order to resolve the issue SPARQL query need to get
interpreted to an SQL query.