Efficient RDF Storage and Retrieval in Jena2

Abstract

Abstract. RDF and related Semantic Web technologies have been the recent focus of much research activity. This work has led to new specifications for RDF and OWL. However, efficient implementations of these standards are needed to realize the vision of a world-wide semantic Web. In particular, implementations that scale to large, enterprise-class data sets are required. Jena2 is the second generation of Jena, a leading semantic web programmers ’ toolkit. This paper describes the persistence subsystem of Jena2 which is intended to support large datasets. This paper describes its features, the changes from Jena1, relevant details of the implementation and performance tuning issues. Query optimization for RDF is identified as a promising area for future research. Jena is a leading Semantic Web programmers ’ toolkit[1]. It is an open-source project, implemented in Java, and available for download from SourceForge. Jena offers a simple abstraction of the RDF graph as its central internal interface. This is used uniformly for graph implementations, including in-memory, database-backed,