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.

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The use of engineering standards in virtual engineering and their potential as models for the specification of a given domain's ontology are arguably unexplored. The importance of domain modeling in virtual engineering deals directly with the potential benefits that the semantic technologies may bring, allowing to discover implicit knowledge that can be beneficial for engineers. This work presents a state-of-the-art review of the technologies used in our approach, a successful case study where our methodology was applied, and the description and results of an experiment designed to provide a quantitative validation of our methodology.

How to best perform a search over a dataset is a common field of research in the scientific community. Query engines are used when the information is handled by an ontology in order to obtain structured information semantically. A common issue that arises is when the same query is performed several times, as the query engine must check the domain every time in order to retrieve the information. In this paper, we propose an architecture that takes advantage of the concept of Reflexive Ontologies (RO) in order to achieve timely semantic retrieval. The proposed architecture is illustrated by a case study in the Film Heritage domain, showing a performance improvement and providing ground for further research and discussion.

In this paper we present a new methodology for the Domain modeling based on Engineering Standards. We discuss some benefits of standards as guidelines for a Knowledge Based Domain modeling and some potential challenges along with possible approaches to overcome them. The benefits of use of Standards as models for Domain ontologies have been shown valid in related works and as prove of concept we present a case study where our methodology was applied successfully.