Visual Exploration of RDF Data | SpringerLink
Skip to main content
Springer Nature Link
Log in

Visual Exploration of RDF Data

  • Conference paper
SOFSEM 2008: Theory and Practice of Computer Science (SOFSEM 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4910))

Abstract

We have developed and implemented [1,2] infrastructure and RDF storage for the Semantic Web. When we filled it with data the need for some tool that could explore the data became evident. Unfortunately, none of existing solutions fulfills requirements imposed by the data and users expectations. This paper presents our RDF visualizer that was designed specifically to handle large RDF data by means of incremental navigation. A detailed description of the algorithm is given as well as actual results produced by the visualizer.

This research was supported in part by the National programme of research (Information society project 1ET100300419) and VEGA 1/3106/06.

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

Access this chapter

Log in via an institution

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. Dokulil, J., Tykal, J., Yaghob, J., Zavoral, F.: Semantic Web Repository And Interfaces. In: UBICOMM 2007 (includes SEMAPRO 2007), pp. 223–228. IEEE, Los Alamitos, California (2007)

    Google Scholar 

  2. Dokulil, J., Tykal, J., Yaghob, J., Zavoral, F.: Semantic Web Infrastructure. In: First IEEE International Conference on Semantic Computing, Los Alamitos, California, pp. 209–215 (2007)

    Google Scholar 

  3. Carroll, J.J., Klyne, G.: Resource description framework: Concepts and abstract syntax. W3C Recommendation (2004)

    Google Scholar 

  4. Yaghob, J., Zavoral, F.: Semantic web infrastructure using datapile. In: Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence and Itelligent Agent Technology, pp. 630–633. IEEE, Los Alamitos (2006)

    Chapter  Google Scholar 

  5. Herman, I., Melançon, G., Marshall, M.S.: Graph visualization and navigation in information visualization: A survey. IEEE Trans. Vis. Comput. Graph 6(1), 24–43 (2000)

    Article  Google Scholar 

  6. Dokulil, J., Katreniaková, J.: Visualization of large schemaless RDF data. In: UBICOMM 2007 (includes SEMAPRO 2007), pp. 243–248. IEEE, Los Alamitos, California (2007)

    Google Scholar 

  7. Dokulil, J., Katreniaková, J.: Vizualizácia RDF dát pomocou techniky zlučovania vrcholov. In: Proc. of ITAT 2007: Information Technologies-Applications and Theory, Seňa, Slovakia, PONT, pp. 23–28 (2007)

    Google Scholar 

  8. Sayers, C.: Node-centric rdf graph visualization. Technical Report HPL-2004-60, HP Laboratories Palo Alto (April 2004)

    Google Scholar 

  9. Pietriga, E.: IsaViz: A Visual Authoring Tool for RDF, http://www.w3.org/2001/11/Isaviz/

  10. Yee, K.P., Fisher, D., Dhamija, R., Hearst, M.A.: Animated exploration of dynamic graphs with radial layout. In: INFOVIS, pp. 43–50 (2001)

    Google Scholar 

  11. Wood, J., Brodlie, K., Walton, J.: gViz - Visualization Middleware for e-Science. In: VIS 2003. Proceedings of the 14th IEEE Visualization 2003, p. 82. IEEE Computer Society, Washington, DC, USA (2003)

    Google Scholar 

  12. Deligiannidis, L., Kochut, K.J., Sheth, A.P.: User-Centered Incremental RDF Data Exploration and Visualization. In: ESWC 2007 (submitted, 2006)

    Google Scholar 

  13. Goyal, S., Westenthaler, R.: RDF Gravity (RDF Graph Visualization Tool), http://semweb.salzburgresearch.at/apps/rdf-gravity/user_doc.html

  14. Huang, W., Eades, P.: How people read graphs. In: Hong, S.H. (ed.) APVIS. CRPIT, vol. 45, pp. 51–58. Australian Computer Society, Australia (2005)

    Google Scholar 

  15. Reingold, E., Tilford, J.: Tidier Drawings of Trees. IEEE Transactions on Software Engineering SE-7, 223–228 (1981)

    Article  Google Scholar 

  16. Purchase, H.C., Hoggan, E., Görg, C.: How Important Is the ”Mental Map”? – An Empirical Investigation of a Dynamic Graph Layout Algorithm. In: Kaufmann, M., Wagner, D. (eds.) GD 2006. LNCS, vol. 4372, pp. 184–195. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  17. Dokulil, J.: Transforming Data from DataPile Structure into RDF. In: Proceedings of the Dateso 2006 Workshop, Desna, Czech Republic, pp. 54–62 (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic

    Jiří Dokulil

  2. Faculty of Mathematics, Physics and Informatics, Comenius University, Bratislava, Slovakia

    Jana Katreniaková

Authors
  1. Jiří Dokulil
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jana Katreniaková
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Viliam Geffert Juhani Karhumäki Alberto Bertoni Bart Preneel Pavol Návrat Mária Bieliková

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Dokulil, J., Katreniaková, J. (2008). Visual Exploration of RDF Data. In: Geffert, V., Karhumäki, J., Bertoni, A., Preneel, B., Návrat, P., Bieliková, M. (eds) SOFSEM 2008: Theory and Practice of Computer Science. SOFSEM 2008. Lecture Notes in Computer Science, vol 4910. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77566-9_58

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-77566-9_58

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77565-2

  • Online ISBN: 978-3-540-77566-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation