摘要

As a web of data, the Semantic Web is assembling and organizing web information. Therefore, Semantic Web applications face the challenge of storage and processing of RDF data at a larger and larger scale. An efficient indexing scheme may be one of the solutions. The sequence-based indexing can bring good query performance with mature sequence matching techniques while keeping reasonable space consumption. In this paper, we extend the Pru¨fer sequence approach to support index and query processing on RDF data, and implement a prototype system called Prig. Performance comparisons with Sesame RDF framework on LUBM benchmark and SP2Bench benchmark are presented. The experimental results illustrate that our approach has a better performance on large-scale RDF data.

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