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

Author

Xu, Yuanping ; Xu, Zhijie ; Jiang, Xiangqian

Author_Institution

Univ. of Huddersfield, Huddersfield

fYear

2007

fDate

1-3 Nov. 2007

Firstpage

107

Lastpage

109

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.

Keywords

category theory; data models; formal specification; formal verification; graph theory; knowledge based systems; manufacturing data processing; object-oriented databases; category theory; geometric product specification standard; geometric product verification standard; graph-based semantic data model; knowledge-based system; object-oriented database; surface texture information management; virtual surface texture analysis; Data models; Global Positioning System; Information analysis; Information management; Object oriented databases; Production; Relational databases; Rough surfaces; Surface roughness; Surface texture;

fLanguage

English

Publisher

ieee

Conference_Titel

Data, Privacy, and E-Commerce, 2007. ISDPE 2007. The First International Symposium on

Conference_Location

Chengdu

Print_ISBN

978-0-7695-3016-1

Type

conf

DOI

10.1109/ISDPE.2007.37

Filename

4402650