Matrix "Bit"loaded: A Scalable Lightweight Join Query Processor for RDF Data

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Provided by: Association for Computing Machinery
Topic: Big Data
Format: PDF
The semantic Web community, until now, has used traditional database systems for the storage and querying of RDF data. The SPARQL query language also closely follows SQL syntax. As a natural consequence, most of the SPARQL query processing techniques is based on database query processing and optimization techniques. For SPARQL join query optimization, previous papers like RDF-3X and Hexastore have proposed to use 6-way indexes on the RDF data. Although these indexes speed up merge-joins by orders of magnitude, for complex join queries generating large intermediate join results, the scalability of the query processor still remains a challenge.
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