Data Management between Relationalized Data and Semantic Web Data

The RDF (Resource Description Framework) modelhas attracted the attention of the database community andmany researchers have proposed different solutions tostore and query RDF data efficiently. This paperproposes a framework for manipulating RDF data storeand proposes a Data mapping algorithm. This paper alsopresents an approach to relationalize RDF data with thequerying power of RDBMS and manipulate RDF datastore using SPARQL/UPDATE. Existing approachesgenerally lack of focusing on updating RDF data store.We will show that despite its simple light-weightarchitecture, our system is able to outperformsimultaneously in both retrieving relationalized RDF dataand managing RDF data store in accordance withrelationalized data