HPRD: a high performance RDF database

  • Authors:
  • Liu Baolin;Hu Bo

  • Affiliations:
  • Department of Computer Science and Technology, Tsinghua University, Beijing, P.R. China;Department of Computer Science and Technology, Tsinghua University, Beijing, P.R. China

  • Venue:
  • NPC'07 Proceedings of the 2007 IFIP international conference on Network and parallel computing
  • Year:
  • 2007

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Abstract

In this paper a high performance storage system for RDF documents is introduced. The system employs optimized index structures for RDF data and efficient RDF query evaluation. The index scheme consists of 3 types of indices. Triple index manages basic RDF triples by dividing original RDF graph into several sub-graphs. Path index manages frequent RDF path patterns for long path query performance enhancement. Context index is optional for context oriented RDF data and temporal RDF data. In this paper, we describe the organization of index structures, show the process of evaluating queries based on the index structures, and provide a performance comparison with exist RDF databases through several benchmark experiments.