A Discussion Information-Structuring Model Based on the Toulmin Formalism

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First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)

Adelaide, Australia

January 23-January 24

ISBN: 0-7695-3090-7

	ASCII Text	x
	Caiquan Xiong, Ying Pan, Dehua Li, "A Discussion Information-Structuring Model Based on the Toulmin Formalism," International Workshop on Knowledge Discovery and Data Mining, pp. 268-273, First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008), 2008.

	BibTex	x
	@article{ 10.1109/WKDD.2008.138, author = {Caiquan Xiong and Ying Pan and Dehua Li}, title = {A Discussion Information-Structuring Model Based on the Toulmin Formalism}, journal ={International Workshop on Knowledge Discovery and Data Mining}, volume = {0}, year = {2008}, isbn = {0-7695-3090-7}, pages = {268-273}, doi = {http://doi.ieeecomputersociety.org/10.1109/WKDD.2008.138}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - International Workshop on Knowledge Discovery and Data Mining TI - A Discussion Information-Structuring Model Based on the Toulmin Formalism SN - 0-7695-3090-7 SP268 EP273 A1 - Caiquan Xiong, A1 - Ying Pan, A1 - Dehua Li, PY - 2008 VL - 0 JA - International Workshop on Knowledge Discovery and Data Mining ER -

Caiquan Xiong

Ying Pan

Dehua Li

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WKDD.2008.138

In the course of discussion, the group will produce a lot of discussion information, in which the consensus is hided. This paper proposes a discussion information-structuring model for consensus building. The model divided a statement into several parts such as premise, warrant, modality, claim etc., according to the Toulmin argument formalism. "Modelity" is designed as a quantitative scale that reflects the expert's attitude to the claim, while premise and warrant are used to provide demonstration for the expert views. We can reach a consensus by computing the value of modality. The model is a comprehensive description of the discussion information, and can effectively manage the discussion information and do consensus building.

Citation:

Caiquan Xiong, Ying Pan, Dehua Li, "A Discussion Information-Structuring Model Based on the Toulmin Formalism," wkdd, pp.268-273, First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008), 2008

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