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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

LanguageEnglish
Title of host publicationProceedings of the 1st International Symposium on Data, Privacy, and E-Commerce, ISDPE 2007
Pages107-109
Number of pages3
DOIs
Publication statusPublished - 1 Dec 2007

Fingerprint

Information management
Textures
Data structures
Semantics
Specifications
Object-oriented databases
Texture
Data base
Object-oriented
Knowledge-based
Categorical data
Modeling method
Product specification
Systems analysis
Graph
Data modeling

Cite this

Zhijie, X., Xiangqian, J., & Yuanping, X. (2007). Exploration of a Category Theory-Based Object-Oriented Database for Surface Texture Information Management. In Proceedings of the 1st International Symposium on Data, Privacy, and E-Commerce, ISDPE 2007 (pp. 107-109). [4402650] https://doi.org/10.1109/ISDPE.2007.37
Zhijie, Xu ; Xiangqian, Jiang ; Yuanping, Xu. / Exploration of a Category Theory-Based Object-Oriented Database for Surface Texture Information Management. Proceedings of the 1st International Symposium on Data, Privacy, and E-Commerce, ISDPE 2007. 2007. pp. 107-109
@inproceedings{3324a7202d5040278114cdc1d1c7cf07,
title = "Exploration of a Category Theory-Based Object-Oriented Database for Surface Texture Information Management",
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.",
author = "Xu Zhijie and Jiang Xiangqian and Xu Yuanping",
year = "2007",
month = "12",
day = "1",
doi = "10.1109/ISDPE.2007.37",
language = "English",
isbn = "0769530168",
pages = "107--109",
booktitle = "Proceedings of the 1st International Symposium on Data, Privacy, and E-Commerce, ISDPE 2007",

}

Zhijie, X, Xiangqian, J & Yuanping, X 2007, Exploration of a Category Theory-Based Object-Oriented Database for Surface Texture Information Management. in Proceedings of the 1st International Symposium on Data, Privacy, and E-Commerce, ISDPE 2007., 4402650, pp. 107-109. https://doi.org/10.1109/ISDPE.2007.37

Exploration of a Category Theory-Based Object-Oriented Database for Surface Texture Information Management. / Zhijie, Xu; Xiangqian, Jiang; Yuanping, Xu.

Proceedings of the 1st International Symposium on Data, Privacy, and E-Commerce, ISDPE 2007. 2007. p. 107-109 4402650.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Exploration of a Category Theory-Based Object-Oriented Database for Surface Texture Information Management

AU - Zhijie, Xu

AU - Xiangqian, Jiang

AU - Yuanping, Xu

PY - 2007/12/1

Y1 - 2007/12/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=48049091548&partnerID=8YFLogxK

U2 - 10.1109/ISDPE.2007.37

DO - 10.1109/ISDPE.2007.37

M3 - Conference contribution

SN - 0769530168

SN - 9780769530161

SP - 107

EP - 109

BT - Proceedings of the 1st International Symposium on Data, Privacy, and E-Commerce, ISDPE 2007

ER -

Zhijie X, Xiangqian J, Yuanping X. Exploration of a Category Theory-Based Object-Oriented Database for Surface Texture Information Management. In Proceedings of the 1st International Symposium on Data, Privacy, and E-Commerce, ISDPE 2007. 2007. p. 107-109. 4402650 https://doi.org/10.1109/ISDPE.2007.37