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Federated SPARQL Query Processing Via CostFed
University of Leipzig.
University of Leipzig.
University of Leipzig.
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-1741-2090
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2017 (English)In: Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks co-located with 16th International Semantic Web Conference (ISWC 2017), Vienna, Austria, October 23rd - to - 25th, 2017, 2017Conference paper, Published paper (Refereed)
Abstract [en]

The runtime optimization of federated SPARQL query engines is of central importance to ensure the usability of the Web of Data in real-world applications. The efficient selection of sources (SPARQL endpoints in our case) as well as the generation of optimized query plans belong to the most important optimization steps in this respect. This paper presents CostFed, an index-assisted federation engine for federated SPARQL query processing over multiple SPARQL endpoints. CostFed makes use of statistical information collected from endpoints to perform efficient source selection and cost-based query planning. In contrast to the state of the art, it relies on a non-linear model for the estimation of the selectivity of joins. Therewith, it is able to generate better plans than the state-of-the-art federation engines. In an experimental evaluation based on FedBench benchmark, we show that CostFed is 3 to 121 times faster than the state of the art SPARQL endpoint federation engines.

Place, publisher, year, edition, pages
2017.
Series
CEUR Workshop Proceedings ; 1963
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-168665OAI: oai:DiVA.org:liu-168665DiVA, id: diva2:1461734
Conference
16th International Semantic Web Conference (ISWC)
Projects
CENIIT project no. 17.05Available from: 2020-08-27 Created: 2020-08-27 Last updated: 2020-08-27

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Hartig, Olaf

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Citation style
  • apa
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  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf