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A framework for performance study of semantic databases
KTH, School of Information and Communication Technology (ICT).
2010 (English)In: CEUR Workshop Proceedings, 2010, 1-12 p.Conference paper, Published paper (Refereed)
Abstract [en]

Presently, the Semantic Web is gaining popularity. Consequently, there is an increased demand for benchmarking of the performance of RDF stores and SPARQL queries with simulated test data. However, there is not sufficient work on how different RDF stores perform with various SPARQL elements. The work presented in this paper seeks to explore the performance issues of data storage, data retrieving and data inference. We present a framework for performance study of semantic databases. We used this framework to evaluate several existing semantic databases. The evaluation results show that our framework can facilitate the performance study and there is room for improving the performance of current semantic databases.

Place, publisher, year, edition, pages
2010. 1-12 p.
Series
CEUR Workshop Proceedings, ISSN 1613-0073 ; 666
Keyword [en]
Database, Evaluation, Perform study, RDF, Semantic Web, SPARQL
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-148935Scopus ID: 2-s2.0-84868347875OAI: oai:DiVA.org:kth-148935DiVA: diva2:737836
Conference
International Workshop on Evaluation of Semantic Technologies, IWEST 2010 - Workshop at the 9th International Semantic Web Conference, ISWC 2010, 8 November 2010 through 8 November 2010, Shanghai, China
Note

QC 20140814

Available from: 2014-08-14 Created: 2014-08-14 Last updated: 2014-08-14Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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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