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Authors: Zbyněk Falt ; Miroslav Čermák and Filip Zavoral

Affiliation: Charles University, Czech Republic

ISBN: 978-989-8565-67-9

Keyword(s): Merge Join, Parallel, Bobox, RDF.

Related Ontology Subjects/Areas/Topics: Data Engineering ; Database Architecture and Performance ; Databases and Data Security ; Nosql Databases ; Query Processing and Optimization

Abstract: In this paper, we introduce a highly scalable sort-merge join algorithm for RDF databases. The algorithm is designed especially for streaming systems; besides task and data parallelism, it also tries to exploit the pipeline parallelism in order to increase its scalability. Additionally, we focused on handling skewed data correctly and efficiently; the algorithm scales well regardless of the data distribution.

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Paper citation in several formats:
Falt, Z.; Čermák, M. and Zavoral, F. (2013). Highly Scalable Sort-merge Join Algorithm for RDF Querying.In Proceedings of the 2nd International Conference on Data Technologies and Applications - Volume 1: DATA, ISBN 978-989-8565-67-9, pages 293-300. DOI: 10.5220/0004489702930300

@conference{data13,
author={Zbyněk Falt. and Miroslav Čermák. and Filip Zavoral.},
title={Highly Scalable Sort-merge Join Algorithm for RDF Querying},
booktitle={Proceedings of the 2nd International Conference on Data Technologies and Applications - Volume 1: DATA,},
year={2013},
pages={293-300},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004489702930300},
isbn={978-989-8565-67-9},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Data Technologies and Applications - Volume 1: DATA,
TI - Highly Scalable Sort-merge Join Algorithm for RDF Querying
SN - 978-989-8565-67-9
AU - Falt, Z.
AU - Čermák, M.
AU - Zavoral, F.
PY - 2013
SP - 293
EP - 300
DO - 10.5220/0004489702930300

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