Chapter 9
Visualizing Internetworked Argumentation
Simon Buckingham Shum, Victoria Uren, Gangmin Li,
John Domingue, Enrico Motta
Knowledge Media Institute, Open University, UK
Figures
(enlargements/colour versions of reduced/black and white figures in the book)
 | Figure 9.2: User interface to ClaiMaker, showing how a researcher can build a set of claims. Key: (1) A claim that has already been constructed, ready to submit; (2) the Concept to link from, which has (3) been assigned the type Evidence, and (4) linked via the Relational Class Supports/Challenges, (5) more specifically, refutes (selected from the dialect-specific menu). (6) The user then searched the knowledge base for a target Concept, Set or Claim to which they wish to make the connection. |
 | Figure 9.4: Visual claims analysis of part of Chapter 7 by Selvin. |
 | Figure 9.5: Visual claims analysis of part of Chapter 5 by van Gelder. |
 | Figure 9.6: A claim-making template for a stereotypical empirical software evaluation paper. The structure provides scaffolding for authors to think about their work, and perhaps for reviewers to evaluate it by making it easier to trace concepts with which they are less familiar. The highlighted structure shows the expected core contribution of an evaluation paper: evidence about the effectiveness of a software system. |
 | Figure 9.8: A 3-core cluster extracted from a network of claims and argumentation links. From hundreds of nodes modelling literature on text categorization, only those which connect to at least 3 other nodes in the cluster are presented (with link labels switched off). A flavour of key issues in the field is given without overwhelming the viewer. |
 | Figure 9.9: Arguments that contrast with the concepts in a research paper by Chen and Ho (2000). Key: clicking displays concept metadata; sets the concept as the focal concept, to show incoming and outgoing relations; links to the document metadata/URL. links to information about the concept's creator. |
 | Figure 9.10: Examining the 'relational neighbourhood' around a focal concept. The concept Optimized rules outperform Naïve Bayes and decision trees (discovered in Figure 9.9) now occupies the centre in order to show incoming and outgoing links. Any concept displayed can then be made the focal concept by clicking on its icon. |
 | Figure 9.12: Visualization of the results of a lineage analysis, a representation of the claims in the network on which the top concept explicitly and implicitly builds, or alternatively, a guide to the local context in which a concept is embedded. |
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Other Related Resources
ClaiMaker web environment for modelling and analysing claims and arguments in any digital library.
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