A Framework for Querying Semantic Web Data Using SPARQL-SQL Query Translation

Abstract

With the fast growth of Semantic Web, more and more Resource Description Framework (RDF) data are created and widely used in Web applications and information systems. Recently, efficient RDF data management on top of relational databases gains particular attentions from both Semantic Web community and database community. Most existing RDF stores, which serve as metadata repositories on the Semantic Web, use relational database management system (RDBMS) as a backend to manage RDF data. This paper presents a framework for querying the semantic web data over relational database. We also propose SPARQL-SQL (Simple Protocol and RDF Query Language - Structured Query Language) query translation algorithm that implements each SPARQL algebra operator via SQL query. And then, this translation algorithm generates a flat SQL statement for efficient query processing by relational database query engine, and their results can be returned as SPARQL query solutions.