Consensus-based Approaches to Processing Collective Inconsistency and Knowledge Integration

Tóm tắt:

The possibility of connecting billions of people around the world through network is the main characteristic of cyber-physical systems production. To date, social web, virtual communities, and information sharing have been considered as additional sources of information, knowledge which is often referred to as the wisdom of crowds for information retrieval. In these cases, there exists a need to integrate all individual knowledge states originating from different sources concerning some common problems in the real world. For such a task, the most important issue is processing inconsistency of knowledge. The first part of the paper presents an overview of approaches to processing collective inconsistency and knowledge integration using consensus tools. In addition, some issues concerning knowledge integration such as multi-level integration and knowledge increase in a collective are also devoted. Furthermore, we will investigate the research problem concerning the role of collective knowledge in Collective Intelligence.

Tác giả: Van Du Nguyen, Hai Bang Truong, Mercedes G. Merayo, Ngoc Thanh Nguyen

Từ khóa: Consensus methodology, collective knowledge, inconsistent knowledge

Tạp chí: WIREs Data Mining and Knowledge Discovery

Chỉ số: Online ISSN:1942-4795

Link tải: https://wires.onlinelibrary.wiley.com/doi/10.1002/widm.1311