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Visualizing Knowledge Along Semantic and Geographic Dimensions: A Web Intelligence Platform to Explore Climate Change Coverage

  • Arno Scharl
  • Alexander Hubmann-Haidvogel
  • Walter Rafelsberger
  • Albert Weichselbraun
  • Heinz-Peter Lang
  • Marta Sabou
Chapter
Part of the Advanced Information and Knowledge Processing book series (AI&KP)

Abstract

This chapter presents the Media Watch on Climate Change, a publicly available Web intelligence portal that collects, aggregates and visualizes large archives of digital content from multiple stakeholder groups (documents and user comments from news media, blogs, user-generated content from Facebook, Twitter and YouTube, corporate and NGO Web sites, and a range of other sources). An visual dashboard with trend charts and complex map projections not only shows how often and where environmental information is published, but also provides a real-time account of concepts that stakeholders associate with climate change. Positive or negative sentiment is computed automatically, which sheds light on the impact of education and public outreach campaigns that target environmental literacy, and helps to gain a better understanding of how others perceive climate-related issues.

Keywords

Information Space Semantic Technology Public Outreach Ontology Graph Information Landscape 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgement

This chapter represents an extended and updated version of earlier work presented at the 46th Hawaii International Conference on Systems Sciences (Scharl et al. 2013b). New components of the Media Watch on Climate Change including a tool for the concurrent editing of documents are developed as part of the DecarboNet Project (www.decarbonet.eu), which receives funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no 610829. The authors wish to thank the researchers involved in conceptualizing, developing and evaluating these components: tag cloud (M. Foels); information landscape (S. Ahmad, V. Sabol and M. Kroell); keyword graph (T. Schäfer; A. Brasoveanu); ontology graph (G. Wohlgenannt, S. Belk); eye tracking survey (T. Weinhold); sentiment analysis (S. Gindl).

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Copyright information

© Springer-Verlag London 2014

Authors and Affiliations

  • Arno Scharl
    • 1
  • Alexander Hubmann-Haidvogel
    • 1
  • Walter Rafelsberger
    • 1
  • Albert Weichselbraun
    • 2
  • Heinz-Peter Lang
    • 1
  • Marta Sabou
    • 1
  1. 1.Department of New Media TechnologyMODUL University ViennaViennaAustria
  2. 2.Swiss Institute for Information ResearchUniversity of Applied Sciences ChurChurSwitzerland

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