Title :
A Scalable Scheme for Bulk Loading Large RDF Graphs into Oracle
Author :
Das, Souripriya ; Chong, Eugene Inseok ; Wu, Zhe ; Annamalai, Melliyal ; Srinivasan, Jagannathan
Author_Institution :
Oracle, Nashua, NH
Abstract :
The growth of RDF data makes it imperative that an efficient mechanism for bulk-loading RDF graphs be supported. Thus, the paper proposes a bulk-load scheme that allows fast loading of arbitrarily large RDF graphs into a database. Specifically, three modes of load are supported: i) loading into an empty RDF graph, ii) appending to a non-empty RDF graph, and iii) concurrent loads into multiple graphs. The bulk-load scheme is implemented as part of Oracle database semantic technologies and the performance experiments conducted with a variety of RDF graphs (from UniProt and synthesized data of Lehigh University Benchmark) demonstrate the scalability of the approach. The paper outlines the challenges involved in bulk- loading of large RDF graphs, describes the bulk-load scheme, discusses its implementation, and presents a performance study.
Keywords :
file organisation; graph theory; knowledge representation; relational databases; semantic Web; Oracle database semantic technologies; RDF graph bulk-loading; hash function; normalized relational representation; relational database; semantic Web applications; Computer languages; Data models; Database languages; Intrusion detection; OWL; Pattern matching; Query processing; Resource description framework; Scalability; Semantic Web;
Conference_Titel :
Data Engineering, 2008. ICDE 2008. IEEE 24th International Conference on
Conference_Location :
Cancun
Print_ISBN :
978-1-4244-1836-7
Electronic_ISBN :
978-1-4244-1837-4
DOI :
10.1109/ICDE.2008.4497539
