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

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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.

Original 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

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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