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Visualization of Uncertainty in Tag Clouds

  • Nikos Platis
  • Manolis Wallace
  • Thanos Triantos
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9398)

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.

Keywords

Tag cloud Uncertainty Visualization Transparency 

References

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Copyright information

© Springer International Publishing Switzerland 2015

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.

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Authors and Affiliations

  • Nikos Platis
    • 1
  • Manolis Wallace
    • 1
  • Thanos Triantos
    • 1
  1. 1.Knowledge and Uncertainty Research Laboratory, Department of Informatics and TelecommunicationsUniversity of the PeloponneseTripolisGreece

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