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Category model to modeling the surface texture knowledge-base

Wang, Yan, Scott, Paul J. and Jiang, Xiang (2006) Category model to modeling the surface texture knowledge-base. In: Proceedings of Computing and Engineering Annual Researchers' Conference 2006: CEARC’06. University of Huddersfield, Huddersfield, pp. 1-7.

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Abstract

The next generations of Geometrical Product Specification (GPS) standards are considered to be too
theoretical, abstract, complex and over-elaborate. And it is not easier for industry to understand and
implement them efficiently in a short time. An intelligent knowledge-based system, “VirtualSurf” is
being developed to solve the problem, particularly for surface texture knowledge, which is a critical
part of GPS. This system will provide expert knowledge of surface texture to link surface function,
specification of micro- and nano-geometry through manufacture, and verification. The intelligent
knowledge-base should be capable of incorporating knowledge from multiple sources (standards,
books, experts, etc), adding new knowledge from these sources and still remain a coherent reliable
system. A new data model – category model, based on category theory will be adopted to construct
this system.

Item Type: Book Chapter
Uncontrolled Keywords: GPS, Knowledge-based System, Surface Texture, Category Model, Category Theory
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Schools: School of Computing and Engineering
School of Computing and Engineering > Centre for Precision Technologies
School of Computing and Engineering > Computing and Engineering Annual Researchers' Conference (CEARC)
School of Computing and Engineering > Centre for Precision Technologies > Surface Metrology Group
Related URLs:
Depositing User: Graham Stone
Date Deposited: 03 Apr 2009 10:05
Last Modified: 24 Aug 2015 20:10
URI: http://eprints.hud.ac.uk/id/eprint/3794

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