Skip to main content
SpringerLink
Log in

Optimisation Techniques for Flexible Querying in SPARQL 1.1

  • Conference paper
  • First Online:
Data Analytics (BICOD 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10365))

Included in the following conference series:

  • 1082 Accesses

Abstract

Flexible querying techniques can be used to enhance users’ access to heterogeneous data sets, such as Linked Open Data. An extension of the SPARQL query language with flexible capabilities, called SPARQL\(^{AR}\), was defined in [2], where an evaluation algorithm based on query rewriting was presented. In this paper, we propose two optimisation techniques for evaluating SPARQL\(^{AR}\) queries. The first is based on a caching technique, in which we pre-compute some answers in advance. The second exploits a summarisation of the data graph being queried.

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

Access this chapter

Log in via an institution
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 EPUB and 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

Notes

  1. 1.

    http://lod-cloud.net/.

  2. 2.

    http://www.w3.org/TR/sparql11-property-paths/.

References

  1. Chekol, M.W., Euzenat, J., Genevès, P., Layaida, N.: PSPARQL query containment. Research report, Inria Grenoble Rhône-Alpes/LIG Laboratoire d’Informatique de Grenoble (2011)

    Google Scholar 

  2. Frosini, R., Calì, A., Poulovassilis, A., Wood, P.T.: Flexible query processing for SPARQL. Semant. Web 8(4), 533–563 (2017)

    Article  Google Scholar 

  3. Poulovassilis, A., Wood, P.T.: Combining approximation and relaxation in semantic web path queries. In: Patel-Schneider, P.F., Pan, Y., Hitzler, P., Mika, P., Zhang, L., Pan, J.Z., Horrocks, I., Glimm, B. (eds.) ISWC 2010. LNCS, vol. 6496, pp. 631–646. Springer, Heidelberg (2010). doi:10.1007/978-3-642-17746-0_40

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science and Information Systems, Birkbeck University of London, London, UK

    Riccardo Frosini

Authors
  1. Riccardo Frosini
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Riccardo Frosini .

Editor information

Editors and Affiliations

  1. Birkbeck, University of London, London, United Kingdom

    Andrea Calì

  2. Birkbeck, University of London, London, United Kingdom

    Peter Wood

  3. Birkbeck, University of London, London, United Kingdom

    Nigel Martin

  4. Birkbeck, University of London, London, United Kingdom

    Alexandra Poulovassilis

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Frosini, R. (2017). Optimisation Techniques for Flexible Querying in SPARQL 1.1. In: Calì, A., Wood, P., Martin, N., Poulovassilis, A. (eds) Data Analytics. BICOD 2017. Lecture Notes in Computer Science(), vol 10365. Springer, Cham. https://doi.org/10.1007/978-3-319-60795-5_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-60795-5_11

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60794-8

  • Online ISBN: 978-3-319-60795-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation