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research-article

Using Category Theory to facilitate multiple manufacturing service database integration

[+] Author and Article Information
Ryan Wisnesky

Categorical Informatics Cambridge, MA, USA
ryan@catinf.com

Spencer Breiner

Software and Systems Division Information Technology Laboratory National Institute of Standards and Technology(NIST) Gaithersburg, MD, USA
spencer.breiner@nist.gov

Albert Jones

Systems Integration Division Engineering Laboratory National Institute of Standards and Technology(NIST) Gaithersburg, MD, USA
albert.jones@nist.gov

David I. Spivak

Department of Mathematics Massachusetts Institute of Technology 77 Massachusetts Ave. Cambridge, MA 02139
dspivak@mit.edu

Eswaran Subrahmanian

Institute for Complex Engineered Systems and Engineering and Public Policy Carnegie Mellon University Pittsburgh, PA 15213
sub@cmu.edu

1Corresponding author.

ASME doi:10.1115/1.4034268 History: Received June 10, 2016; Revised July 20, 2016

Abstract

The goal of this paper is to illustrate the use of category theory as a basis for the integration of manufacturing service databases. In this paper we use as our reference prior work by Kolvatunyu et.al (2013) on the use of 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 category theory 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.

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