Semantic Systems and Visual Tools to Support Environmental Communication
IEEE Systems JournalPublished 8 September 2015Open access
Arno Scharl, David Herring, Walter Rafelsberger, Alexander Hubmann-Haidvogel, Ruslan Kamolov, Daniel Fischl
Citations26
SJR quartileQ1
SJR score1.28
SNIP1.48
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TL;DR
Methods to extract and disambiguate context information are summarized and visualization techniques to explore the lexical, geospatial, and relational context of topics and entities referenced in these repositories are presented.
Abstract
Given the intense attention that environmental topics such as climate change attract in news and social media coverage, scientists and communication professionals want to know how different stakeholders perceive observable threats and policy options, how specific media channels react to new insights, and how journalists present scientific knowledge to the public. This paper investigates the potential of semantic technologies to address these questions. After summarizing methods to extract and disambiguate context information, we present visualization techniques to explore the lexical, geospatial, and relational context of topics and entities referenced in these repositories. The examples stem from the Media Watch on Climate Change, the Climate Resilience Toolkit and the NOAA Media Watch—three applications that aggregate environmental resources from a wide range of online sources. These systems not only show the value of providing comprehensive information to the public, but also have helped to develop a novel communication success metric that goes beyond bipolar assessments of sentiment.
Keywords
Computer SciencePhysics and Astronomy
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