Skip to main content

An Experimental Evaluation of Relational RDF Storage and Querying Techniques

  • Conference paper
Database Systems for Advanced Applications (DASFAA 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6193))

Included in the following conference series:

Abstract

The Resource Description Framework (RDF) is a flexible model for representing information about resources in the web. With the increasing amount of RDF data which is becoming available, efficient and scalable management of RDF data has become a fundamental challenge to achieve the Semantic Web vision. The RDF model has attracted a lot of attention of the database community and many researchers have proposed different solutions to store and query RDF data efficiently. In this paper, we focus on evaluating the state-of-the-art of the approaches which are relying on the relational infrastructure to provide scalable engines to store and query RDF data. Our experimental evaluation is done on top of recently introduced SP2Bench performance benchmark for RDF query engines. The results of our experiments shows that there is still room for optimization in the proposed generic relational RDF storage schemes and thus new techniques for storing and querying RDF data are still required to bring forward the Semantic Web vision.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. DBLP Computer Science Biliography, http://www.informatik.uni-trier.de/~ley/db/

  2. Abadi, D., Marcus, A., Madden, S., Hollenbach, K.: SW-Store: a vertically partitioned DBMS for Semantic Web data management. VLDB J. 18(2) (2009)

    Google Scholar 

  3. Botea, V., Mallett, D., Nascimento, M., Sander, J.: PIST: An Efficient and Practical Indexing Technique for Historical Spatio-Temporal Point Data. GeoInformatica 12(2) (2008)

    Google Scholar 

  4. Chaudhuri, S., Weikum, G.: Rethinking Database System Architecture: Towards a Self-Tuning RISC-Style Database System. In: VLDB (2000)

    Google Scholar 

  5. Inseok Chong, E., Das, S., Eadon, G., Srinivasan, J.: An Efficient SQL-based RDF Querying Scheme. In: VLDB (2005)

    Google Scholar 

  6. Copeland, G., Khoshafian, S.: A Decomposition Storage Model. In: SIGMOD (1985)

    Google Scholar 

  7. Graefe, G.: Sorting and Indexing with Partitioned B-Trees. In: CIDR (2003)

    Google Scholar 

  8. Grust, T., Sakr, S., Teubner, J.: XQuery on SQL Hosts. In: VLDB (2004)

    Google Scholar 

  9. Harris, S., Gibbins, N.: 3store: Efficient Bulk RDF Storage. In: PSSS (2003)

    Google Scholar 

  10. Harth, A., Decker, S.: Optimized Index Structures for Querying RDF from the Web. In: LA-WEB (2005)

    Google Scholar 

  11. Jeffery, S., Franklin, M., Halevy, A.: Pay-as-you-go user feedback for dataspace systems. In: SIGMOD (2008)

    Google Scholar 

  12. Levandoski, J., Mokbel, M.: RDF Data-Centric Storage. In: ICWS (2009)

    Google Scholar 

  13. Neumann, T., Weikum, G.: RDF-3X: a RISC-style engine for RDF. PVLDB 1(1) (2008)

    Google Scholar 

  14. Prud’hommeaux, E., Seaborne, A.: SPARQL Query Language for RDF, W3C Recommendation (January 2008), http://www.w3.org/TR/rdf-sparql-query/

  15. Schmidt, M., Hornung, T., Lausen, G., Pinkel, C.: SP2Bench: A SPARQL Performance Benchmark. In: ICDE (2009)

    Google Scholar 

  16. Sidirourgos, L., Goncalves, R., Kersten, M., Nes, N., Manegold, S.: Column-store support for RDF data management: not all swans are white. PVLDB 1(2) (2008)

    Google Scholar 

  17. Stonebraker, M., Abadi, D., Batkin, A., Chen, X., Cherniack, M., Ferreira, M., Lau, E., Lin, A., Madden, S., O’Neil, E., O’Neil, P., Rasin, A., Tran, N., Zdonik, S.: C-Store: A Column-oriented DBMS. In: VLDB (2005)

    Google Scholar 

  18. Türker, C., Gertz, M.: Semantic integrity support in SQL: 1999 and commercial (object-)relational database management systems. VLDB J. 10(4) (2001)

    Google Scholar 

  19. Weiss, C., Karras, P., Bernstein, A.: Hexastore: sextuple indexing for semantic web data management. PVLDB 1(1) (2008)

    Google Scholar 

  20. Wilkinson, K., Sayers, C., Kuno, H., Reynolds, D.: Efficient RDF Storage and Retrieval in Jena2. In: SWDB (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

MahmoudiNasab, H., Sakr, S. (2010). An Experimental Evaluation of Relational RDF Storage and Querying Techniques. In: Yoshikawa, M., Meng, X., Yumoto, T., Ma, Q., Sun, L., Watanabe, C. (eds) Database Systems for Advanced Applications. DASFAA 2010. Lecture Notes in Computer Science, vol 6193. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14589-6_22

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-14589-6_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14588-9

  • Online ISBN: 978-3-642-14589-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics