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 functorial 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.
Using Category Theory to Facilitate Multiple Manufacturing Service Database Integration
Contributed by the Computers and Information Division of ASME for publication in the JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING. Manuscript received June 10, 2016; final manuscript received July 20, 2016; published online February 16, 2017. Editor: Bahram Ravani.
This material is declared a work of the U.S. Government and is not subject to copyright protection in the United States. Approved for public release; distribution is unlimited.
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Wisnesky, R., Breiner, S., Jones, A., Spivak, D. I., and Subrahmanian, E. (February 16, 2017). "Using Category Theory to Facilitate Multiple Manufacturing Service Database Integration." ASME. J. Comput. Inf. Sci. Eng. June 2017; 17(2): 021011. https://doi.org/10.1115/1.4034268
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