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Using Category Theory to Facilitate Multiple Manufacturing Service Database Integration

机译:使用类别理论促进多个制造服务数据库集成

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摘要

The goal of this paper is to illustrate the use of category theory (CT) as a basis for the integration of manufacturing service databases. In this paper, we use as our reference prior work by Kulvatunyou et al. (2013, "An Analysis of OWL-Based Semantic Mediation Approaches to Enhance Manufacturing Service Capability Models," Int. J. Comput. Integr. Manuf, 27(9), pp. 803-823) on the use of web ontology language (OWL)-based semantic web tools to study the integration of different manufacturing service capability (MSC) databases using a generic-model approach that they propose in their paper. We approach the same task using a different set of tools, specifically CT and FQL, a functo-rial query language based on categorical mathematics. This work demonstrates the potential utility of category-theoretic information management tools and illustrates some advantages of categorical techniques for the integration and evolution of databases. We conclude by making the case that a category-theoretic approach can provide a more flexible and robust approach to integration of existing and evolving information.
机译:本文的目的是说明使用类别理论(CT)作为制造服务数据库集成的基础。在本文中,我们将Kulvatunyou等人的工作作为参考。 (2013年,“基于OWL的语义中介方法分析,以增强制造服务能力模型,” Int。J. Comput。Integr。Manuf,27(9),第803-823页),关于使用Web本体语言(基于OWL)的语义Web工具,使用他们在论文中提出的通用模型方法来研究不同制造服务能力(MSC)数据库的集成。我们使用不同的工具集来完成同一任务,特别是CT和FQL,这是一种基于分类数学的功能查询语言。这项工作演示了类别理论信息管理工具的潜在用途,并说明了分类技术在数据库集成和发展中的一些优势。通过得出结论,分类理论方法可以为集成现有信息和不断发展的信息提供更灵活,更强大的方法。

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