Large-scale Argument Visualization (LSAV) (Unknown language)

in EuroVis 2016 - Posters ; 65-67
EuroVis 2016 - Posters

Arguments are structures of premises and conclusions that underpin rational reasoning processes. Within complex knowledge domains, especially if they are contentious, argument structures can become large and complex. Visualization tools have been developed that support argument analysts and help them to work with arguments. Until recently, arguments were manually analyzed from natural language text, or constructed from scratch, but new communication modes mean that increasing amounts of debate and the arguments therein can be captured digitally. Furthermore, new tools and techniques for argument mining are beginning to automate the process of extracting argument structure from natural language; leading to much larger argument datasets that present problems for the current generation of argument visualization tools. Additionally, individual argument analysts have different foci which can lead to increased complexity within datasets, and additional facets that argument visualizations should account for but do not. We propose a tool for interacting with argument corpora that enable users to explore and understand the reasoning structure of large-scale arguments. The tool will support a range of interactivity techniques and will help users to explore and analyse large-scale arguments, to more rapidly comprehend complex new problem domains.

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Table of contents conference proceedings

The table of contents of the conference proceedings is generated automatically, so it can be incomplete, although all articles are available in the TIB.

1
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5
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9
MetricScalpel: Analyzing Diagnostic Outcomes with Exploratory Data Visualization
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13
When Individual Data Points Matter: Interactively Analysing Classification Landscapes
Schneider, Bruno / Mittelstädt, Sebastian / Keim, Daniel A. | 2016
17
Quantitative Evaluation for Edge Bundling Based on Structural Aesthetics
Saga, Ryosuke | 2016
21
Coloring Interactive Compositional Dot Maps
Tennekes, Martijn / Jonge, Edwin de | 2016
25
Visual Data Exploration for Balance Quantification During Exergaming
Soancatl, Venustiano / Gronde, J. J. van de / Lamoth, C. J. C. / Maurits, N. M. / Roerdink, Jos B. T. M. | 2016
29
Tracking and Visualizing Dynamic Structures in Multichannel EEG Coherence Networks
Ji, Chengtao / Gronde, J. J. van de / Maurits, N. M. / Roerdink, Jos B. T. M. | 2016
33
Transfer Function Optimization Based on a Combined Model of Visibility and Saliency
Luo, Shengzhou / Dingliana, John | 2016
37
Geometry-Aware Visualization of Performance Data
Vierjahn, Tom / Hentschel, Bernd / Kuhlen, Torsten W. | 2016
41
Query by Visual Words: Visual Search for Scatter Plot Visualizations
Shao, Lin / Schleicher, Timo / Schreck, Tobias | 2016
45
Visual Analytics for Fraud Detection: Focusing on Profile Analysis
Leite, Roger Almeida / Gschwandtner, Theresia / Miksch, Silvia / Gstrein, Erich / Kuntner, Johannes | 2016
49
Visual Analysis of Text Annotations for Stance Classification with ALVA
Kucher, Kostiantyn / Kerren, Andreas / Paradis, Carita / Sahlgren, Magnus | 2016
53
Interactive Exploration of Student Generated Content presented in Blogs
Jusufi, Ilir / Milrad, Marcelo / Legaspi, Xurxo | 2016
57
InVITe - Towards Intuitive Visualization of Iterations over Text
Lamqaddam, Houda / Aerts, Jan | 2016
61
Features vs Prototypes: Amplifying Cognition with Common Data Graphics
Migut, M. A. / Worring, M. | 2016
65
Large-scale Argument Visualization (LSAV)
Khartabil, Dana / Wells, S. / Kennedy, Jessie | 2016
69
Visualizing Article Similarities in Wikipedia
Riehmann, Patrick / Potthast, Martin / Gruendl, Henning / Kiesel, Johannes / Jürges, Dean / Castiglia, Giuliano / Ter-Akopyan, Bagrat / Froehlich, Bernd | 2016
73
Towards Combining Attribute-based and Time Series-based Visual Querying
Sessler, David / Spott, Martin / Nauck, Detlef / Harmer, William / Kohlhammer, Jörn / Bernard, Jürgen | 2016
77
Tracking Space-Filling Features by Two-Step Optimization
Schnorr, Andrea / Freitag, Sebastian / Kuhlen, Torsten W. / Hentschel, Bernd | 2016
81
Understanding Networks beyond Overlapping Clusters
Guchev, Vladimir / Angelini, S. / Amati, G. | 2016
85
Volume Rendering Using Principal Component Analysis
Alakkari, Salaheddin / Dingliana, John | 2016
89
TaCo: Comparative Visualization of Large Tabular Data
Hourieh, Reem / Stitz, Holger / Gehlenborg, Nils / Streit, Marc | 2016
93
Styrian Diversity Visualisation: Visualising Statistical Open Data with a LeanWeb App and Data Server
Andrews, Keith / Traunmüller, Thomas / Wolkinger, Thomas / Goldgruber, Eva / Gutounig, Robert / Ausserhofer, Julian | 2016
97
Visualization-Aware Color Design
Szafir, Danielle Albers / Gleicher, Michael | 2016

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