1st International ICST Workshop on Knowledge Discovery and Data Mining

Research Article

A Discussion Information-Structuring Model Based on the Toulmin Formalism

  • @INPROCEEDINGS{10.4108/wkdd.2008.2670,
        author={Caiquan Xiong and Ying Pan and Dehua Li},
        title={A Discussion Information-Structuring Model Based on the Toulmin Formalism},
        proceedings={1st International ICST Workshop on Knowledge Discovery and Data Mining},
        publisher={ACM},
        proceedings_a={WKDD},
        year={2010},
        month={5},
        keywords={},
        doi={10.4108/wkdd.2008.2670}
    }
    
  • Caiquan Xiong
    Ying Pan
    Dehua Li
    Year: 2010
    A Discussion Information-Structuring Model Based on the Toulmin Formalism
    WKDD
    ACM
    DOI: 10.4108/wkdd.2008.2670
Caiquan Xiong1,2,*, Ying Pan1, Dehua Li1
  • 1: Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan 430074, China.
  • 2: School of Computer Science, Hubei University of Technology, Wuhan 430068, China.
*Contact email: x_cquan@163.com

Abstract

Abstract 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.