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Modelling naturalistic argumentation in research literatures: representation and interaction design issues

Buckingham Shum, Simon J.; Uren, Victoria; Li, Gangmin; Sereno, Bertrand and Mancini, Clara (2007). Modelling naturalistic argumentation in research literatures: representation and interaction design issues. International Journal of Intelligent Systems, 22(1) pp. 17–47.

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DOI (Digital Object Identifier) Link: http://dx.doi.org/10.1002/int.20188
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Abstract

This paper characterises key weaknesses in the ability of current digital libraries to support scholarly inquiry, and as a way to address these, proposes computational services grounded in semiformal models of the naturalistic argumentation commonly found in research lteratures. It is argued that a design priority is to balance formal expressiveness with usability, making it critical to co-evolve the modelling scheme with appropriate user interfaces for argument construction and analysis. We specify the requirements for an argument modelling scheme for use by untrained researchers, describe the resulting ontology, contrasting it with other domain modelling and semantic web approaches, before discussing passive and intelligent user interfaces designed to support analysts in the construction, navigation and analysis of scholarly argument structures in a Web-based environment.

Item Type: Journal Article
ISSN: 0884-8173
Extra Information: The attached PDF is a pre-copy-editing, author-produced PDF of an article accepted for publication in International Journal of Intelligent Systems following peer review. The definitive publisher-authenticated version is available online at: http://www3.interscience.wiley.com/cgi-bin/abstract/113490133/ABSTRACT
Academic Unit/Department: Knowledge Media Institute
Mathematics, Computing and Technology > Computing & Communications
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 6463
Depositing User: Simon Buckingham Shum
Date Deposited: 07 Feb 2007
Last Modified: 06 Dec 2010 08:57
URI: http://oro.open.ac.uk/id/eprint/6463
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