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Authors: YanWen Chen 1 ; Fabrice Huet 2 and YiXiang Chen 1

Affiliations: 1 East China Normal University, China ; 2 INRIA and Sophia-Antipolis, France

Keyword(s): Cloud Computing, MapReduce, RDF, Hadoop, Distributed Computing.

Related Ontology Subjects/Areas/Topics: Cloud Application Architectures ; Cloud Applications Performance and Monitoring ; Cloud Computing ; Platforms and Applications

Abstract: With the prevalence of semantic web, a great deal of RDF data is created and has reached to tens of petabytes, which attracts people to pay more attention to processing data with high performance. In recent years, Hadoop, building on MapReduce framework, provides us a good way to process massive data in parallel. In this paper, we focus on using Hadoop to query RDF data from large data repositories. First, we proposed a prototype to process a SPARQL query. Then, we represented several ways to optimize our solution. Result shows that a better performance has been achieved, almost 70% improvement due to the optimization.

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Paper citation in several formats:
Chen, Y.; Huet, F. and Chen, Y. (2011). IMPLEMENTATION AND OPTIMIZATION OF RDF QUERY USING HADOOP. In Proceedings of the 1st International Conference on Cloud Computing and Services Science - CLOSER; ISBN 978-989-8425-52-2; ISSN 2184-5042, SciTePress, pages 512-515. DOI: 10.5220/0003387805120515

@conference{closer11,
author={YanWen Chen. and Fabrice Huet. and YiXiang Chen.},
title={IMPLEMENTATION AND OPTIMIZATION OF RDF QUERY USING HADOOP},
booktitle={Proceedings of the 1st International Conference on Cloud Computing and Services Science - CLOSER},
year={2011},
pages={512-515},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003387805120515},
isbn={978-989-8425-52-2},
issn={2184-5042},
}

TY - CONF

JO - Proceedings of the 1st International Conference on Cloud Computing and Services Science - CLOSER
TI - IMPLEMENTATION AND OPTIMIZATION OF RDF QUERY USING HADOOP
SN - 978-989-8425-52-2
IS - 2184-5042
AU - Chen, Y.
AU - Huet, F.
AU - Chen, Y.
PY - 2011
SP - 512
EP - 515
DO - 10.5220/0003387805120515
PB - SciTePress