LARGE-SCALE LINKED DATA PROCESSING - Cloud Computing to the Rescue?

Michael Hausenblas, Robert Grossman, Andreas Harth, Philippe Cudré-Mauroux

Abstract

Processing large volumes of Linked Data requires sophisticated methods and tools. In the recent years we have mainly focused on systems based on relational databases and bespoke systems for Linked Data processing. Cloud computing offerings such as SimpleDB or BigQuery, and cloud-enabled NoSQL systems including Cassandra or CouchDB as well as frameworks such as Hadoop offer appealing alternatives along with great promises concerning performance, scalability and elasticity. In this paper we state a number of Linked Data-specific requirements and review existing cloud computing offerings as well as NoSQL systems that may be used in a cloud computing setup, in terms of their applicability and usefulness for processing datasets on a large-scale.

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Paper Citation


in Harvard Style

Hausenblas M., Grossman R., Harth A. and Cudré-Mauroux P. (2012). LARGE-SCALE LINKED DATA PROCESSING - Cloud Computing to the Rescue? . In Proceedings of the 2nd International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-8565-05-1, pages 246-251. DOI: 10.5220/0003928702460251


in Bibtex Style

@conference{closer12,
author={Michael Hausenblas and Robert Grossman and Andreas Harth and Philippe Cudré-Mauroux},
title={LARGE-SCALE LINKED DATA PROCESSING - Cloud Computing to the Rescue?},
booktitle={Proceedings of the 2nd International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2012},
pages={246-251},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003928702460251},
isbn={978-989-8565-05-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - LARGE-SCALE LINKED DATA PROCESSING - Cloud Computing to the Rescue?
SN - 978-989-8565-05-1
AU - Hausenblas M.
AU - Grossman R.
AU - Harth A.
AU - Cudré-Mauroux P.
PY - 2012
SP - 246
EP - 251
DO - 10.5220/0003928702460251