Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/918033

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Title
An architecture for the semantic enhancement of virtual engineering applications
Author/Creator
Toro, Carlos;  Graña, Manuel;  Posada, Jorge;  Sanin, Cesar;  Szczerbicki, Edward
Institution
The University of Newcastle. Faculty of Engineering & Built Environment, School of Engineering
Description
Virtual Engineering (VE) is defined as the integration of geometric models and related engineering tools (such as analysis, simulation, optimization and decision-making, etc), within a computerized environment that facilitates multidisciplinary and collaborative product development. The focus of Virtual Engineering is to engage the human capacity for evaluation of complex systems and situations. In this article, we present an architecture for the Semantic enhancement of Virtual Engineering Applications (VEA) through their embedded Virtual Engineering Tools. Our architecture follows a User-Intention-Domain schema and makes use of state of the art technologies like the Set of Experience Knowledge Structure and the Reflexive Ontologies in order to offer a better User experience with VEA. The main advantages of using Semantics in VEA can be summarized are: (i) an improved information and embedded Knowledge management, (ii) Enhancements in the search, knowledge and information sharing processes during the use of the VEA, (iii) The use of the intrinsic Knowledge embedded in the elements being described by the VEA and (iv) the empowerment of the User’s knowledge and embedding of such knowledge in a structured and explicit conceptualization.
Relation
Intelligent Systems for Knowledge Management p. 175-195
Relation
Studies in Computational Intelligence 252
Publisher Link
http://dx.doi.org/10.1007/978-3-642-04170-9_8
Date
2009
Publisher
Springer
Keyword(s)
domain modeling;  knowledge based systems;  ontologies
Resource Type
book chapter
Identifier
http://hdl.handle.net/1959.13/918033
Identifier
ISBN:9783642041693
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Subject
"An architecture for the semantic enhancement of virtual engineering applications"
 
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