Multi-scale knowledge structuring: Towards an ubiquitous assistant for the factory of the future

Mohamed Anis Dhuieb (1) , Florent Laroche (1) , Alain Bernard (1)

1 IRCCyN - Institut de Recherche en Communications et en Cybernétique de Nantes

The research project described in this paper deals with the problematic of structuring and exploiting enterprise's knowledge. Manufacturing knowledge is obtaining more and more vital position as a key success of the factory. The vision to maximize the benefits from knowledge management practices in production environments is shared between both industrial and research communities. We propose in this work a new approach for knowledge structuring. The approach proposes to structure the knowledge into multi-scales where each scale represents a completeness degree. Taking into account in which context the knowledge should be reused is a gap often neglected in the existing knowledge based systems. Therefore, we propose a context model aiming to capture and manage contextual information about the working environment. In addition, a conceptual framework has been proposed in order to adapt the knowledge set to the current context where it is reused.

Mots clés: Knowledge Management; Knowledge engineering; Context- awareness; ubiquitous computing; Factory of the future

Domaines: Génie des procédés

Mohamed Anis Dhuieb, Florent Laroche, Alain Bernard. Multi-scale knowledge structuring: Towards an ubiquitous assistant for the factory of the future. Workshop PALM, Jul 2015, Sochaux, France. ⟨hal-02498360⟩