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LinkedPipes Visualization: Simple Useful Linked Data Visualization Use Cases

  • Jakub Klímek
  • Jiří Helmich
  • Martin Nečaský
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9989)

Abstract

There is a need for being able to effectively demonstrate the benefits of publishing Linked Data. There are already many datasets and they are no longer limited to research based data sources. Governments and even companies start publishing Linked Data as well. However, a tool, which would be able to immediately demonstrate the Linked Data benefits to those, who still need convincing, was missing. In this paper, we demonstrate LinkedPipes Visualization, a tool based on our previous work, the Linked Data Visualization Model. Using this tool, we show four simple use cases that immediately demonstrate the Linked Data benefits. We demonstrate the value of providing dereferenceable IRIs and using vocabularies standardized as W3C Recommendations on use cases based on SKOS and the RDF Data Cube Vocabulary, providing data visualizations on one click. LinkedPipes Visualization can be extended to support other vocabularies through additional visualization components.

Keywords

Linked Data RDF Visualization Discovery 

References

  1. 1.
    Atemezing, G.A., Troncy, R.: Towards a Linked-Data based visualization wizard. In: Hartig, O., Hogan, A., Sequeda, J. (eds.) Proceedings of the 5th International Workshop on Consuming Linked Data (COLD 2014) Co-located with the 13th International Semantic Web Conference (ISWC 2014), Riva del Garda, Italy, 20 October 2014, vol. 1264. CEUR Workshop Proceedings, CEUR-WS.org (2014)Google Scholar
  2. 2.
    Brunetti, J.M., Auer, S., García, R., Klímek, J., Nečaský, M.: Formal Linked Data visualization model. In: Proceedings of the 15th International Conference on Information Integration and Web-based Applications & Services (IIWAS 2013), pp. 309–318 (2013)Google Scholar
  3. 3.
    Camarda, D.V., Mazzini, S., Antonuccio, A.: LodLive, exploring the web of data. In: Presutti, V., Pinto, H.S. (eds.) 8th International Conference on Semantic Systems, I-SEMANTICS 2012, Graz, Austria, 5–7 September 2012, pp. 197–200. ACM (2012)Google Scholar
  4. 4.
    Helmich, J., Klímek, J., Nečaský, M.: Visualizing RDF data cubes using the Linked Data visualization model. In: Presutti, V., Blomqvist, E., Troncy, R., Sack, H., Papadakis, I., Tordai, A. (eds.) ESWC 2014. LNCS, vol. 8798, pp. 368–373. Springer, Heidelberg (2014). doi: 10.1007/978-3-319-11955-7_50 Google Scholar
  5. 5.
    Klímek, J., Helmich, J., Nečaský, M.: Application of the Linked Data visualization model on real world data from the Czech LOD cloud. In: Bizer, C., Heath, T., Auer, S., Berners-Lee, T. (eds.) Proceedings of the Workshop on Linked Data on the Web co-located with the 23rd International World Wide Web Conference (WWW 2014), Seoul, Korea, 8 April 2014, vol. 1184. CEUR Workshop Proceedings. CEUR-WS.org (2014)Google Scholar
  6. 6.
    Klímek, J., Helmich, J., Nečaský, M.: Use cases for Linked Data visualization model. In: Bizer, C., Auer, S., Berners-Lee, T., Heath, T. (eds.) Proceedings of the Workshop on Linked Data on the Web, LDOW 2015, Co-located with the 24th International World Wide Web Conference (WWW 2015), Florence, Italy, 19 May 2015, vol. 1409. CEUR Workshop Proceedings, CEUR-WS.org (2015)Google Scholar

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Jakub Klímek
    • 1
  • Jiří Helmich
    • 1
  • Martin Nečaský
    • 1
  1. 1.Faculty of Mathematics and PhysicsCharles University in PraguePraha 1Czech Republic

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