Skip to main content
SpringerLink
Log in

Visualization of Uncertainty in Tag Clouds

  • Conference paper
  • First Online:
Semantic Keyword-Based Search on Structured Data Sources (IKC 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9398))

  • 468 Accesses

Abstract

Tag clouds provide an excellent means of visualization of weighted semantic information. With their generation depending on given or calculated weights, their use is not possible when these weights are not known with certainty. In this paper we propose an extension of tag clouds to support the notion of uncertainty and explore some properties of this new representation. Furthermore, we present a tool implementing it.

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

References

  1. d3-cloud. http://github.com/jasondavies/d3-cloud/

  2. OpenCloud. http://opencloud.mcavallo.org/

  3. Research: Wikipedia Readership Survey 2011/Results (2011). https://meta.wikimedia.org/wiki/Research:Wikipedia_Readership_Survey_2011/Results

  4. WordCram. http://github.com/danbernier/WordCram/

  5. Cason, K.: Kumo - Java Word Cloud. http://kennycason.com/posts/2014-07-03-kumo-wordcloud.html

  6. Pande, M.: Word Cloud of open ended responses from Wikipedia’s readers survey. via Wikimedia Commons

    Google Scholar 

  7. Ware, C.: Information Visualization, Perception for Design, 3rd edn. Morgan Kaufmann, Amsterdam (2012)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Knowledge and Uncertainty Research Laboratory, Department of Informatics and Telecommunications, University of the Peloponnese, 22 100, Tripolis, Greece

    Nikos Platis, Manolis Wallace & Thanos Triantos

Authors
  1. Nikos Platis
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Manolis Wallace
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Thanos Triantos
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Manolis Wallace .

Editor information

Editors and Affiliations

  1. University of Coimbra, Coimbra, Portugal

    Jorge Cardoso

  2. Huawei European Research Center, Munich, Germany

    Jorge Cardoso

  3. Dipartimento di Ingegneria “Enzo Ferrari”, Università di Modena e Reggio Emilia, Modena, Italy

    Francesco Guerra

  4. Delft University of Technology, Delft, Zuid-Holland, The Netherlands

    Geert-Jan Houben

  5. University of Coimbra, Coimbra, Portugal

    Alexandre Miguel Pinto

  6. Università degli Studi di Trento, Trento, Italy

    Yannis Velegrakis

Rights and permissions

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 2.5 International License (http://creativecommons.org/licenses/by-nc/2.5/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Platis, N., Wallace, M., Triantos, T. (2015). Visualization of Uncertainty in Tag Clouds. In: Cardoso, J., Guerra, F., Houben, GJ., Pinto, A.M., Velegrakis, Y. (eds) Semantic Keyword-Based Search on Structured Data Sources. IKC 2015. Lecture Notes in Computer Science(), vol 9398. Springer, Cham. https://doi.org/10.1007/978-3-319-27932-9_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-27932-9_11

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27931-2

  • Online ISBN: 978-3-319-27932-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation