An Evaluation of RDF Storage Systems for Large Data Applications

Author

Liu, Baolin ; Hu, Bo

Author_Institution

Dept. of Comput. Sci. &Technol., Tsinghua Univ., Beijing

fYear

2005

fDate

27-29 Nov. 2005

Firstpage

59

Lastpage

59

Abstract

In this paper, evaluation on 7 RDF storage systems with respect to the large data applications is presented. By using the toolkit LUBM-R, 4 different scales of RDF datasets to proceed with benchmark are gotten. The target systems which are evaluated includes two storage systems based on memory (Sesame-Memory and Jena-Memory), two persistent storage systems with RDBMS underlying (Sesame-DB and Jena-DB), and three native RDF approach systems (Sesame- Native, Kowari and YARS). We described how we have performed the evaluation and discussed several issues about the results. We also introduced a combined metric to measure the overall performance of a RDF storage system. And the results show several issues about current RDF storage system.

Keywords

storage management; very large databases; Jena-Memory; LUBM-R toolkit; RDBMS; RDF storage systems; Sesame-Memory; large data applications; resource description framework; Application software; Benchmark testing; Computer science; Database languages; Delay; Large-scale systems; Performance evaluation; Resource description framework; System testing; Web sites;

fLanguage

English

Publisher

ieee

Conference_Titel

Semantics, Knowledge and Grid, 2005. SKG '05. First International Conference on

Conference_Location

Beijing

Print_ISBN

0-7695-2534-2

Electronic_ISBN

0-7695-2534-2

Type

conf

DOI

10.1109/SKG.2005.37

Filename

4125847