Data Management between Relationalized Data and Semantic Web Data

Abstract

The RDF (Resource Description Framework) model has attracted the attention of the database community and many researchers have proposed different solutions to store and query RDF data efficiently. This paper proposes a framework for manipulating RDF data store and proposes a Data mapping algorithm. This paper also presents an approach to relationalize RDF data with the querying power of RDBMS and manipulate RDF data store using SPARQL/UPDATE. Existing approaches generally lack of focusing on updating RDF data store. We will show that despite its simple light-weight architecture, our system is able to outperform simultaneously in both retrieving relationalized RDF data and managing RDF data store in accordance with relationalized data.