NTOLOGY REPOSITRY IMPROVE THE SPARQL BASED PERFORMANCE USING STORAGE INDEPENDENT MODEL
| Author(s) | : | A.Rajalakshmi, Dr. S.Ganesh Kumar |
| Institution | : | Assistant .Professor , Department of Computer Applications, SRM IST |
| Published In | : | Vol. 5, Issue 2 — February 2018 |
| Page No. | : | 646-652 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
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. Thetechnique for gathering the results and recommendations is extended with determination that is planned by using Ontologybased text mining method. The performance evaluation of an independency of ‘Storage model’ is applied in SPARQL-to-SQLTranslation algorithms. In specific query language OWL is established on relational database (RDB) for scanning andmanaging 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 getinterpreted to an SQL query.
A.Rajalakshmi, Dr. S.Ganesh Kumar, “NTOLOGY REPOSITRY IMPROVE THE SPARQL BASED PERFORMANCE USING STORAGE INDEPENDENT MODEL”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 2, pp. 646-652, February 2018.
