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Authors: Nur Aini Rakhmawati ; Marcel Karnstedt ; Michael Hausenblas and Stefan Decker

Affiliation: National University of Ireland, Ireland

ISBN: 978-989-758-023-9

Keyword(s): Linked Data, Data Distribution, Federated SPARQL Query, SPARQL Endpoint.

Related Ontology Subjects/Areas/Topics: Databases and Datawarehouses ; Distributed and Parallel Applications ; Internet Technology ; Ontology and the Semantic Web ; System Integration ; Web Information Systems and Technologies ; Web Interfaces and Applications

Abstract: Processing a federated query in Linked Data is challenging because it needs to consider the number of sources, the source locations as well as heterogeneous system such as hardware, software and data structure and distribution. In this work, we investigate the relationship between the data distribution and the communication cost in a federated SPARQL query framework. We introduce the spreading factor as a dataset metric for computing the distribution of classes and properties throughout a set of data sources. To observe the relationship between the spreading factor and the communication cost, we generate 9 datasets by using several data fragmentation and allocation strategies. Our experimental results showed that the spreading factor is correlated with the communication cost between a federated engine and the SPARQL endpoints . In terms of partitioning strategies, partitioning triples based on the properties and classes can minimize the communication cost. However, such partitioning c an also reduce the performance of SPARQL endpoint within the federation framework. (More)

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Paper citation in several formats:
Aini Rakhmawati, N.; Karnstedt, M.; Hausenblas, M. and Decker, S. (2014). On Metrics for Measuring Fragmentation of Federation over SPARQL Endpoints.In Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 2: WEBIST, ISBN 978-989-758-023-9, pages 119-126. DOI: 10.5220/0004760101190126

@conference{webist14,
author={Nur Aini Rakhmawati. and Marcel Karnstedt. and Michael Hausenblas. and Stefan Decker.},
title={On Metrics for Measuring Fragmentation of Federation over SPARQL Endpoints},
booktitle={Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,},
year={2014},
pages={119-126},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004760101190126},
isbn={978-989-758-023-9},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,
TI - On Metrics for Measuring Fragmentation of Federation over SPARQL Endpoints
SN - 978-989-758-023-9
AU - Aini Rakhmawati, N.
AU - Karnstedt, M.
AU - Hausenblas, M.
AU - Decker, S.
PY - 2014
SP - 119
EP - 126
DO - 10.5220/0004760101190126

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