Solving conflict on collaborative knowledge via social networking using consensus choice

Authors:
Quoc Uy Nguyen;Trong Hai Duong;Sanggil Kang
Affiliations:
University of Information Technology, VNU-HCM, Vietnam;Faculty of Mathematics and Informatics, Quangbinh University, Vietnam;Department of Computer and Information Engineering, Inha University, Korea
Venue:
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part I
Year:
2012

Citing 4
Cited 1

Consensus-based partitions in the space of ordered partitions

Pattern Recognition
Advanced Methods for Inconsistent Knowledge Management (Advanced Information and Knowledge Processing)

Advanced Methods for Inconsistent Knowledge Management (Advanced Information and Knowledge Processing)
A METHOD FOR ONTOLOGY CONFLICT RESOLUTION AND INTEGRATION ON RELATION LEVEL

Cybernetics and Systems
INCONSISTENCY OF KNOWLEDGE AND COLLECTIVE INTELLIGENCE

Cybernetics and Systems

Consensus for collaborative ontology-based vietnamese wordnet building

ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part II

Quantified Score

Hi-index	0.00

Visualization

Abstract

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.