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A Semantics-Based, End-User-Centered Information Visualization Process for Semantic Web Data

  • Chapter
Semantic Models for Adaptive Interactive Systems

Part of the book series: Human–Computer Interaction Series ((HCIS))

Abstract

Understanding and interpreting Semantic Web data is almost impossible for novices as skills in Semantic Web technologies are required. Thus, Information Visualization (InfoVis) of this data has become a key enabler to address this problem. However, convenient solutions are missing as existing tools either do not support Semantic Web data or require users to have programming and visualization skills. In this chapter, we propose a novel approach towards a generic InfoVis workbench called VizBoard, which enables users to visualize arbitrary Semantic Web data without expert skills in Semantic Web technologies, programming, and visualization. More precisely, we define a semantics-based, user-centered InfoVis workflow and present a corresponding workbench architecture based on the mashup paradigm, which actively supports novices in gaining insights from Semantic Web data, thus proving the practicability and validity of our approach.

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Notes

  1. 1.

    As of February 2013, the Data Hub (http://thedatahub.org/) hosts about 5100 data sets from various domains.

  2. 2.

    http://www.tableausoftware.com/.

  3. 3.

    http://data-gov.tw.rpi.edu/wiki/How_to_use_Google_Visualization_API.

  4. 4.

    http://uispin.org/charts.html.

  5. 5.

    http://www.topbraidcomposer.com.

  6. 6.

    GoodRelations ontology: http://purl.org/goodrelations/v1.

  7. 7.

    DBPedia: http://dbpedia.org/About.

  8. 8.

    WordNet: http://wordnet.princeton.edu/.

  9. 9.

    http://ncicb.nci.nih.gov/download/evsportal.jsp.

  10. 10.

    Information based on the State of the LOD Cloud report from October 2011, http://www4.wiwiss.fu-berlin.de/lodcloud/state/.

  11. 11.

    TopBraid Composer: http://www.topquadrant.com/products/TB_Composer.html.

  12. 12.

    http://jersey.java.net/.

  13. 13.

    http://jena.apache.org/documentation/tdb/.

  14. 14.

    http://poi.apache.org/.

  15. 15.

    http://d2rq.org/.

  16. 16.

    http://jgrapht.org/.

  17. 17.

    http://sourceforge.net/projects/kce/.

  18. 18.

    http://rapid-i.com/.

  19. 19.

    https://github.com/mbostock/d3.

  20. 20.

    http://jquery.com/.

  21. 21.

    http://raphaeljs.com/.

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Authors and Affiliations

  1. TU Dresden, Dresden, Germany

    Martin Voigt, Stefan Pietschmann & Klaus Meißner

Authors
  1. Martin Voigt
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  2. Stefan Pietschmann
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  3. Klaus Meißner
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Corresponding author

Correspondence to Martin Voigt .

Editor information

Editors and Affiliations

  1. Interactive Systems Group, University of Duisburg-Essen, Forsthausweg 2, Duisburg, 47057, Germany

    Tim Hussein

  2. Data and Web Science Group, University of Mannheim, Bissmarkstr., Mannheim, 68159, Germany

    Heiko Paulheim

  3. Faculty of Technology, Policy & Manageme, Delft University of Technology, Jaffalaan 5, Delft, 2628BX, Zuid-Holland, Netherlands

    Stephan Lukosch

  4. Interactive Systems Group, University of Duisburg-Essen, Forsthausweg 2, Duisburg, 47057, Germany

    Jürgen Ziegler

  5. Grenoble Informatics Laboratory, Grenoble Institute of Technology, Rue des Mathématiques 41, Grenoble, 38041, France

    Gaëlle Calvary

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Voigt, M., Pietschmann, S., Meißner, K. (2013). A Semantics-Based, End-User-Centered Information Visualization Process for Semantic Web Data. In: Hussein, T., Paulheim, H., Lukosch, S., Ziegler, J., Calvary, G. (eds) Semantic Models for Adaptive Interactive Systems. Human–Computer Interaction Series. Springer, London. https://doi.org/10.1007/978-1-4471-5301-6_5

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  • DOI: https://doi.org/10.1007/978-1-4471-5301-6_5

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  • Print ISBN: 978-1-4471-5300-9

  • Online ISBN: 978-1-4471-5301-6

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