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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Solving Conflict on Collaborative Knowledge via Social Networking Using Consensus Choice
verfasst von : Quoc Uy Nguyen, Trong Hai Duong, Sanggil Kang
Erschienen in: Computational Collective Intelligence. Technologies and Applications
Verlag: Springer Berlin Heidelberg
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While knowledge exchange among users is rapidly increased in social networking environment, collaborative knowledge in social networking is being become more and more essential for knowledge management systems. In this work, a method for solving conflict on collaborative knowledge via social networking using consensus choice is presented. A knowledge base can be considered as a pair
KB
= (
O, I
) where
O
is an ontology and
I
is a set of instances of concepts belonging to the ontology
O
. The main issue presented here is how to organize a collaboration process and to resolve conflicts in collaborative knowledge creation via social networking.In this work, ontology is considered as sharing mechanism for social collaboration. The structure of a collaborative group is distinguished by three types including centralized-, decentralized-, and distributed group. For each group type, we propose a corresponding algorithm for conflict resolution using consensus choice.