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Efficient Processing of Semantic Web Queries in HBase and MySQL Cluster

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5 Author(s)
Craig Franke ; University of Texas–Pan American ; Samuel Morin ; Artem Chebotko ; John Abraham
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With rapid growth of the Semantic Web, the authors' research focuses on designing a scalable resource description framework (RDF) database system that can efficiently process SPARQL queries over large RDF datasets. In this article, they present their design, architecture, storage schemes, and performance evaluation of two efficient RDF data management approaches that use state-of-the-art cloud and relational database technologies-HBase and MySQL Cluster.

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IT Professional  (Volume:15 ,  Issue: 3 )