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A Discussion Information-Structuring Model Based on the Toulmin Formalism
Adelaide, Australia January 23-January 24
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WKDD.2008.138First International Workshop on Knowl ...
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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
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@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
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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 -
 
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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