Category theory-based object-oriented data management for virtual manufacturing

Yuanping Xu; Zhijie Xu; Xiangqian Jiang

doi:10.1504/IJIMS.2008.019630

Category theory-based object-oriented data management for virtual manufacturing

Yuanping Xu, Zhijie Xu^*, Xiangqian Jiang

^*Corresponding author for this work

University of Huddersfield

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

This paper discusses a graph based semantic data model using the Category Theory for constructing 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 (GPS) and Verification standards. The paper starts with a literature review on the related research areas. Based on the problems highlighted, a categorical data modelling method is introduced and its usage explained. A web-based virtual environment for hosting the VSTA system interface is then discussed. The paper concludes with a case study of the implementation for the VSTA system to illustrate the design features of the devised categorical data model.

Original language	English
Pages (from-to)	136-159
Number of pages	24
Journal	International Journal of Internet Manufacturing and Services
Volume	1
Issue number	2
DOIs	https://doi.org/10.1504/IJIMS.2008.019630
Publication status	Published - 2008
Externally published	Yes

Keywords

Categorical data model
Category theory
GPS
VE
Virtual Environment
Virtual Manufacturing
VM

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10.1504/IJIMS.2008.019630

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title = "Category theory-based object-oriented data management for virtual manufacturing",

abstract = "This paper discusses a graph based semantic data model using the Category Theory for constructing 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 (GPS) and Verification standards. The paper starts with a literature review on the related research areas. Based on the problems highlighted, a categorical data modelling method is introduced and its usage explained. A web-based virtual environment for hosting the VSTA system interface is then discussed. The paper concludes with a case study of the implementation for the VSTA system to illustrate the design features of the devised categorical data model.",

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AU - Xu, Zhijie

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AB - This paper discusses a graph based semantic data model using the Category Theory for constructing 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 (GPS) and Verification standards. The paper starts with a literature review on the related research areas. Based on the problems highlighted, a categorical data modelling method is introduced and its usage explained. A web-based virtual environment for hosting the VSTA system interface is then discussed. The paper concludes with a case study of the implementation for the VSTA system to illustrate the design features of the devised categorical data model.

KW - Categorical data model

KW - Category theory

KW - GPS

KW - VE

KW - Virtual Environment

KW - Virtual Manufacturing

KW - VM

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EP - 159

JO - International Journal of Internet Manufacturing and Services

JF - International Journal of Internet Manufacturing and Services

IS - 2

ER -

Category theory-based object-oriented data management for virtual manufacturing

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Keywords

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