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Abstract
In this paper, a high performance storage system for RDF documents is introduced. The system employs optimised index structures for RDF data and efficient RDF query evaluation. The index scheme consists of three 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 organisation of index structures, which shows the process of evaluating queries based on the index structures, and provide a performance comparison with exist RDF database through several benchmark experiments.
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Acknowledgements
This work is supported by the National High Technology Development Program of China (No. 2007AA010306).