Research Papers

Using Category Theory to Facilitate Multiple Manufacturing Service Database Integration

[+] Author and Article Information
Ryan Wisnesky

Categorical Informatics,
Cambridge, MA 02142
e-mail: ryan@catinf.com

Spencer Breiner

Software and Systems Division,
Information Technology Laboratory,
National Institute of Standards
and Technology (NIST),
Gaithersburg, MD 20899
e-mail: spencer.breiner@nist.gov

Albert Jones

Systems Integration Division,
Engineering Laboratory,
National Institute of Standards
and Technology (NIST),
Gaithersburg, MD 20899
e-mail: albert.jones@nist.gov

David I. Spivak

Department of Mathematics,
Massachusetts Institute of Technology,
77 Massachusetts Avenue,
Cambridge, MA 02139
e-mail: dspivak@mit.edu

Eswaran Subrahmanian

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

1Corresponding author.

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.

J. Comput. Inf. Sci. Eng 17(2), 021011 (Feb 16, 2017) (11 pages) Paper No: JCISE-16-1983; 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 (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.

Copyright © 2017 by ASME
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Fig. 1

Generic model of manufacturing services capability [9]

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Fig. 2

Reference ontology approach for integrating two MSC portals A and B

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Fig. 3

Schema for Portal A

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Fig. 4

Portal A data in FQL

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Fig. 5

Initial “IS_A” relationship from the ontology

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Fig. 6

Result of the “IS_A” relationship after transitive and reflexive closure

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Fig. 7

Query result on initial data displayed in FQL

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Fig. 8

Query result on enriched data displayed in FQL




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