Using Category Theory to facilitate multiple manufacturing service database integration

[+] Author and Article Information
Ryan Wisnesky

Categorical Informatics Cambridge, MA, USA

Spencer Breiner

Software and Systems Division Information Technology Laboratory National Institute of Standards and Technology(NIST) Gaithersburg, MD, USA

Albert Jones

Systems Integration Division Engineering Laboratory National Institute of Standards and Technology(NIST) Gaithersburg, MD, USA

David I. Spivak

Department of Mathematics Massachusetts Institute of Technology 77 Massachusetts Ave. Cambridge, MA 02139

Eswaran Subrahmanian

Institute for Complex Engineered Systems and Engineering and Public Policy Carnegie Mellon University Pittsburgh, PA 15213

1Corresponding author.

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


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.

Section 4: U. S. Gov Employees
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