Title :
Efficient Processing of Semantic Web Queries in HBase and MySQL Cluster
Author :
Franke, C. ; Morin, Sonia ; Chebotko, Artem ; Abraham, Jibi ; Brazier, Pearl
Abstract :
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.
Keywords :
SQL; cloud computing; pattern clustering; relational databases; semantic Web; HBase cluster; MySQL cluster; cloud technology; data management approach; relational database; resource description framework; scalable RDF database system; semantic Web query; Clustering algorithms; Databases; Distributed processing; Information technology; Middleware; Performance evaluation; Query processing; Resource description framework; Semantic Web; HBase; MySQL Cluster; RDF; SPARQL; SQL; Semantic Web; cloud computing; distributed database; information technology; query; performance; scalability;
Journal_Title :
IT Professional
DOI :
10.1109/MITP.2012.42
