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Knowledge Based Industrial Maintenance Using Portable Devices and Augmented Reality

Carlos Toro, Cesar Sanín, Javier Vaquero, Jorge Posada, Edward Szczerbicki

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

27 Citations (Scopus)

Abstract

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, PDAs and Tablet PCs.

Original languageEnglish
Title of host publicationKnowledge-Based Intelligent Information and Engineering Systems: 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Vietri sul Mare, Italy,September 12-14, 2007 : Proceedings, Part I
EditorsGerhard Goos
Place of PublicationHeidelberg, Germany
PublisherSpringer
Pages295-302
ISBN (Print)9783540748175
DOIs
Publication statusPublished - 31 Dec 2007

Publication series

NameLecture Notes in Computer Science
Number4692

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