Modeling naturalistic argumentation in research literatures: Representation and interaction design issues: Research Articles

  • Authors:

  • Simon J. Buckingham Shum;Victoria Uren;Gangmin Li;Bertrand Sereno;Clara Mancini

  • Affiliations:

  • Knowledge Media Institute, The Open University, Milton Keynes MK7 6AA, United Kingdom;Knowledge Media Institute, The Open University, Milton Keynes MK7 6AA, United Kingdom;Knowledge Media Institute, The Open University, Milton Keynes MK7 6AA, United Kingdom;Knowledge Media Institute, The Open University, Milton Keynes MK7 6AA, United Kingdom;Knowledge Media Institute, The Open University, Milton Keynes MK7 6AA, United Kingdom

  • Venue:
  • International Journal of Intelligent Systems - Computational Models of Natural Argumentation
  • Year:
  • 2007

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Abstract

This article characterizes 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 literatures. It is argued that a design priority is to balance formal expressiveness with usability, making it critical to coevolve the modeling scheme with appropriate user interfaces for argument construction and analysis. We specify the requirements for an argument modeling scheme for use by untrained researchers and describe the resulting ontology, contrasting it with other domain modeling 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. © 2007 Wiley Periodicals, Inc. Int J Int Syst 22: 17–47, 2007.