High performance semantic factoring of giga-scale semantic graph databases.

Conference · Fri Oct 01 00:00:00 EDT 2010

OSTI ID:1026967

al-Saffar, Sinan ^[1]; Adolf, Bob ^[1]; Haglin, David ^[1]; Mackey, Greg Edward; Goodman, Eric L; Joslyn, Cliff A ^[1]; Feo, John ^[1]; Mizell, David ^[2]

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1. Pacific Northwest National Laboratory
2. Cray, Inc.

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, including basic properties, connected components, namespace interaction, and typed paths.

• Research Organization: Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC04-94AL85000
• OSTI ID: 1026967
• Report Number(s): SAND2010-6961C; TRN: US201121%%178
• Resource Relation: Conference: Proposed for presentation at the International Semantic Web Conference: Semantic Web Challenge held November 6-11, 2010 in Shanghai, China.
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
COMPUTER ARCHITECTURE
HYBRID SYSTEMS
PERFORMANCE
PROCESSING