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Knowledge fusion based on the group argumentation theory in Web 2.0 environment
Author(s) -
Chen Xuelong,
Ding Feng,
Wang Yali
Publication year - 2017
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.3466
Subject(s) - viewpoints , computer science , element (criminal law) , argumentation theory , knowledge representation and reasoning , collective intelligence , set (abstract data type) , knowledge management , representation (politics) , knowledge sharing , information retrieval , artificial intelligence , epistemology , art , philosophy , politics , political science , law , visual arts , programming language
Summary People can present their viewpoints on hot topics freely in the age of Web 2.0. But the different knowledge background and diverse perspectives of individuals lead to deficient description of things. Accordingly, how to integrate personal knowledge into collective knowledge in the environment of Web 2.0 and give a complete description of things is a burning question. Traditional knowledge fusion approaches cannot do well in structured representation of knowledge and quantitative calculation simultaneously and therefore cannot make knowledge fusion at an operational level. In this paper, we propose the knowledge element model to formalize the structured knowledge representation in Web 2.0 environment. On the basis of this, the cognition viewpoints of group members to something in Web 2.0 environment are abstracted into different knowledge element versions. Then, for the attributes on which members have divergences within all the knowledge element versions, the corresponding group argumentation tasks are designed. By utilizing the proposed consensus state model, whether or not the attributes belong to the knowledge element could be determined. And then, the attribute set of the knowledge element could be defined. Accordingly, knowledge fusion is achieved in the environment of Web 2.0. An experimental study demonstrates the viability and effectiveness of the proposed approach.