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
AN - SCOPUS:48049091548
SN - 0769530168
SN - 9780769530161
SP - 107
EP - 109
BT - Proceedings of the 1st International Symposium on Data, Privacy, and E-Commerce, ISDPE 2007
ER -