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Implementing decisional DNA in industrial maintenance by a knowledge SOUPA extension

Sanin C., Toro C., Vaquero J., Szczerbicki E., Posada J.

Systems Science

2007

Vol. 33, no 2

61-68

In this paper, we present a framework and a system implementation for the exploitation of embedded knowledge in the domain of industrial maintenance in a mobile context, using Augmented Reality techniques. We base our approach in the SOUPA group of ontologies (Standard Ontology for Ubiquitous and Pervasive Applications). Our approach extends SOUPA with two new ontologies: (i) the Set of Experience Knowledge Structure, used to model the user’s experience, and (ii) the AR ontology which models an Augmented Reality environment that is used to enhance the maintenance experience through virtual elements. As test case, we implemented our approach in different portable devices with video input capabilities such as UMPCs and Tablet PCs.