Skip to main content

Payola: Collaborative Linked Data Analysis and Visualization Framework

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNISA,volume 7955)


Payola is a framework for Linked Data analysis and visualization. The goal of the project is to provide end users with a tool enabling them to analyze Linked Data in a user-friendly way and without knowledge of SPARQL query language. This goal can be achieved by populating the framework with variety of domain-specific analysis and visualization plugins. The plugins can be shared and reused among the users as well as the created analyses. The analyses can be executed using the tool and the results can be visualized using a variety of visualization plugins. The visualizations can be further customized according to ontologies used in the resulting data. The framework is highly extensible and uses modern technologies such as HTML5 and Scala. In this paper we show two use cases, one general and one from the domain of public procurement.


  • Linked Data
  • RDF
  • visualization
  • analysis

The research is supported in part by the EU ICT FP7 under No.257943, LOD2 project and in part by the Technology Agency of the Czech Republic (TAČR) grant number TA02010182.


  1. Araujo, S., Shwabe, D., Barbosa, S.: Experimenting with Explorator: a Direct Manipulation Generic RDF Browser and Querying Tool. In: WS on Visual Interfaces to the Social and the Semantic Web, VISSW 2009 (2009)

    Google Scholar 

  2. Berners-Lee, T., Chen, Y., Chilton, L., Connolly, D., Dhanaraj, R., Hollenbach, J., Lerer, A., Sheets, D.: Tabulator: Exploring and analyzing linked data on the semantic web. In: 3rd Int. Semantic Web User Interaction WS (2006)

    Google Scholar 

  3. Le-Phuoc, D., Polleres, A., Hauswirth, M., Tummarello, G., Morbidoni, C.: Rapid prototyping of semantic mash-ups through semantic web pipes. In: Proceedings of the 18th international conference on World wide web, WWW 2009, pp. 581–590. ACM, New York (2009)

    CrossRef  Google Scholar 

  4. Zviedris, M., Barzdins, G.: ViziQuer: A Tool to Explore and Query SPARQL Endpoints. In: Antoniou, G., Grobelnik, M., Simperl, E., Parsia, B., Plexousakis, D., De Leenheer, P., Pan, J. (eds.) ESWC 2011, Part II. LNCS, vol. 6644, pp. 441–445. Springer, Heidelberg (2011)

    CrossRef  Google Scholar 

Download references

Author information

Authors and Affiliations


Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Klímek, J., Helmich, J., Nečaský, M. (2013). Payola: Collaborative Linked Data Analysis and Visualization Framework. In: Cimiano, P., Fernández, M., Lopez, V., Schlobach, S., Völker, J. (eds) The Semantic Web: ESWC 2013 Satellite Events. ESWC 2013. Lecture Notes in Computer Science, vol 7955. Springer, Berlin, Heidelberg.

Download citation

  • DOI:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41241-7

  • Online ISBN: 978-3-642-41242-4

  • eBook Packages: Computer ScienceComputer Science (R0)