Consensus choice for reconciling social collaborations on semantic wikis

Abstract

Semantic wikis have been regarded as a collaborative knowledge management system which can provide an efficient framework to foster social interactions and collaborations between online people synchronously. However, as such semantic wiki systems allow users to exploit their own semantics for describing their knowledge, there are sometime conflicts between knowledge (or information) published by them. Thereby, the goal of this work is i) to automatically detect such conflicts by monitoring the user semantics and ii) to reasonably determine consensus choice converged by analyzing social collaborations. In this paper, we want to note major patterns of knowledge dynamics and conflicts through the social interactions on semantic wikis. The consensus choice is effectively selected to be recommended for better understandability about the knowledge conflicts. © 2009 Springer Berlin Heidelberg.