Abstract
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 Prufer 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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