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.
