Modelling of naturalistic argumentation in research literatures

Uren, Victoria; Buckingham Shum, Simon; Mancini, Clara and Li, Gangmin (2004). Modelling of naturalistic argumentation in research literatures. In: 4th Workshop on Computational Models of Natural Argument at The 16th European Conference on Artificial Intelligence (2004), 22-27 Aug 2004, Valencia, Spain.

URL: http://www.dsic.upv.es/ecai2004/

Abstract

This paper characterises weaknesses in the ability of current digital libraries to support scholarly inquiry, and as a way to address these, proposes 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. We summarise the requirements for an argument modelling scheme for use by untrained researchers, describe the resulting scholarly discourse taxonomy, contrast it with other domain modelling and semantic web approaches, before focusing on examples of computational services to support the filtering and analysis of the repository.

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