Skip to main content
Springer Nature Link
Log in

Linked Open Data Statistics: Collection and Exploitation

  • Conference paper
Knowledge Engineering and the Semantic Web (KESW 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 394))

Included in the following conference series:

Abstract

This demo presents LODStats, a web application for collection and exploration of the Linked Open Data statistics. LODStats consists of two parts: the core collects statistics about the LOD cloud and publishes it on the LODStats web portal, a front-end for exploration of dataset statistics. Statistics are published both in human-readable and machine-readable formats, thus allowing consumption of the data through web front-end by the users as well as through an API by services and applications. As an example for the latter we showcase how to visualize the statistical data with the CubeViz application.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
eBook
USD 39.99
Price excludes VAT (USA)
Softcover Book
USD 54.99
Price excludes VAT (USA)

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.

Similar content being viewed by others

References

  1. Alexander, K., Cyganiak, R., Hausenblas, M., Zhao, J.: Describing linked datasets. In: 2nd WS on Linked Data on the Web, Madrid, Spain (April 2009)

    Google Scholar 

  2. Beckett, D.: Redland librdf language bindings, http://librdf.org/bindings/

  3. Beckett, D.: The design and implementation of the redland rdf application framework. In: Proc. of 10th Int. World Wide Web Conf, pp. 449–456. ACM (2001)

    Google Scholar 

  4. Ermilov, I., Demter, J., Martin, M., Lehmann, J., Auer, S.: LODStats – Large Scale Dataset Analytics for Linked Open Data. Under Review in ISWC (2013)

    Google Scholar 

  5. Herman, I., Fernández, S., Tejo, C.: SPARQL endpoint interface to python, http://sparql-wrapper.sourceforge.net/

  6. Stadler, C., Unbehauen, J., Lehmann, J., Auer, S.: Connecting crowd-sourced spatial information to the data web with sparqlify (2013), http://sparqlify.org/downloads/documents/2013-Sparqlify-Technical-Report.pdf

Download references

Author information

Authors and Affiliations

  1. AKSW/BIS, Universität Leipzig, Germany

    Ivan Ermilov, Michael Martin & Jens Lehmann

  2. CS/EIS, Universität Bonn, Germany

    Sören Auer

Authors
  1. Ivan Ermilov
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Michael Martin
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jens Lehmann
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Sören Auer
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Institute of Artificial Intelligence, University of Ulm, 89069, Ulm, Germany

    Pavel Klinov

  2. Intelligence Systems Laboratory, Saint Petersburg National Research University of Information Technologies, Mechanics and Optics, Kronverksky prospekt 49, office 380,, 197101, St. Petersburg, Russia

    Dmitry Mouromtsev

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ermilov, I., Martin, M., Lehmann, J., Auer, S. (2013). Linked Open Data Statistics: Collection and Exploitation. In: Klinov, P., Mouromtsev, D. (eds) Knowledge Engineering and the Semantic Web. KESW 2013. Communications in Computer and Information Science, vol 394. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41360-5_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-41360-5_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41359-9

  • Online ISBN: 978-3-642-41360-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation