High Performance Semantic Factoring of Giga-Scale Semantic Graph Databases
As semantic graph database technology grows to address components ranging from extant large triple stores to SPARQL endpoints over SQL-structured relational databases, it will become increasingly important to be able to bring high performance computational resources to bear on their analysis, interpretation, and visualization, especially with respect to their innate semantic structure. Our research group built a novel high performance hybrid system comprising computational capability for semantic graph database processing utilizing the large multithreaded architecture of the Cray XMT platform, conventional clusters, and large data stores. In this paper we describe that architecture, and present the results of our deploying that for the analysis of the Billion Triple dataset with respect to its semantic factors.
- Research Organization:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-76RL01830
- OSTI ID:
- 1222176
- Report Number(s):
- PNNL-SA-75473; 400470000
- Resource Relation:
- Conference: Proceedings of the 9th International Semantic Web Conference (ISWC 2010), Semantic Web Challenge, November 7-11, 2010, Shanghai, China
- Country of Publication:
- United States
- Language:
- English
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