Abstract
In analyzing controversies and debates – which would include reviewing a literature in order to plan research, or assessing intelligence to formulate policy – there is no one worldview which can be mapped, for instance as a single, coherent concept map. The cartographic challenge is to show which facts are agreed and contested, and the different kinds of narrative links that use facts as evidence to define the nature of the problem, what to do about it, and why. We will use the debate around the invasion of Iraq to demonstrate the methodology of using a knowledge mapping tool to extract key ideas from source materials, in order to classify and connect them within and across a set of perspectives of interest to the analyst. We reflect on the value that this approach adds, and how it relates to other argument mapping approaches.
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Notes
- 1.
Hypertext maps from this analysis: www.kmi.open.ac.uk/projects/compendium/iraq
- 2.
This case study was conducted as part of GlobalArgument.net, a project we initiated in 2005 as a vehicle for systematically comparing computer-supported argumentation tools through argumentation experiments: participants agree on a topic for debate, a set of source documents from which everyone will work, and a schedule for modeling, publishing and analyzing the outputs. We are grateful to Peter Baldwin, co-founder of GlobalArgument.net, and Michael Cohen for collating these articles. http://kmi.open.ac.uk/projects/GlobalArgument.net
- 3.
Available from: Compendium Institute: http://www.CompendumInstitute.org
- 4.
Our thanks to Chris Reed and Doug Walton for the Araucaria XML library of argumentation schemes, which we simply imported into Compendium and converted to IBIS structures: http://compendium.open.ac.uk/compendium-arg-schemes.html
- 5.
Hypermedia Discourse project: http://kmi.open.ac.uk/projects/hyperdiscourse
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Shum, S.J.B., Okada, A. (2014). Knowledge Cartography for Controversies: The Iraq Debate. In: Okada, A., Buckingham Shum, S., Sherborne, T. (eds) Knowledge Cartography. Advanced Information and Knowledge Processing. Springer, London. https://doi.org/10.1007/978-1-4471-6470-8_13
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