Exploration of a Category Theory-Based Object-Oriented Database for Surface Texture Information Management.

Xu, Yuanping, Xu, Zhijie and Jiang, Xiang (2007) Exploration of a Category Theory-Based Object-Oriented Database for Surface Texture Information Management. In: Proceedings of the First International Symposium on Data, Privacy, and E-Commerce November 1-3, 2007. IEEE Computer Society, London, UK, pp. 107-109. ISBN 978-0-7695-3016-1

Metadata only available from this repository.

Abstract

This paper discusses a graph– based semantic data model using Category Theory for a knowledge–based Virtual Surface Texture Analysis (VSTA) system, which aims to automatically implement surface texture parameters relating to surface characteristics defined in the Geometric Product Specification and Verification (GPS) standards. The paper starts with a brief introduction on the background of this project. Based on the problems highlighted, a categorical data modeling method will be introduced and its usage will be explained.

Item Type:	Book Chapter
Subjects:	T Technology > TS Manufactures Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4450 Databases
Schools:	School of Computing and Engineering School of Computing and Engineering > Centre for Precision Technologies School of Computing and Engineering > Centre for Precision Technologies > Surface Metrology Group School of Computing and Engineering > High-Performance Intelligent Computing > Visualisation, Interaction and Vision
Related URLs:	Author
Depositing User:	Yuanping Xu
Date Deposited:	03 Mar 2009 14:57
Last Modified:	28 Aug 2021 10:44
URI:	http://eprints.hud.ac.uk/id/eprint/3289

Downloads

Repository Staff Only: item control page

View Item