HKUST Library Institutional Repository Banner

HKUST Institutional Repository >
Mechanical Engineering >
MECH Conference Papers >

Please use this identifier to cite or link to this item:
Title: A semantic feature language for concurrent engineering
Authors: Liu, Yong-Jin
Lai, Kam Lung Danny
Yuen, Matthew Ming-Fai
Keywords: Concurrent engineering
Knowledge representation
Semantic feature language
Issue Date: Aug-2009
Citation: IEEE International Conference on Computer-Aided Design and Computer Graphics, (CAD/Graphics), Huangshan, China, 19-21 August 2009, p. 383-388
Abstract: In this paper, we present a semantic feature language for knowledge representation and reasoning across different domains in concurrent engineering (CE). The proposed language utilizes a feature model which is depicted in two levels. First a unified and formal framework is presented for semantic features in CE. The presented semantic features are general and a feature formal language is used to characterize the engineering data in multi-discipline domains at the most abstract level. At the details level, the general semantic features are realized in a hierarchical manner with the aids of object-oriented programming. A preliminary implementation of the proposed semantic feature model is also presented.
Rights: © 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
Appears in Collections:MECH Conference Papers

Files in This Item:

File Description SizeFormat
05246873.pdf128KbAdobe PDFView/Open

All items in this Repository are protected by copyright, with all rights reserved.