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Functorial Model Management

Published online by Cambridge University Press:  26 July 2019

Spencer Breiner*
Affiliation:
National Institute of Standards and Technology (NIST);
Blake Pollard
Affiliation:
National Institute of Standards and Technology (NIST); Carnegie Mellon University
Eswaran Subrahmanian
Affiliation:
National Institute of Standards and Technology (NIST); Carnegie Mellon University
*
Contact: Breiner, Spencer, National Institute of Standards and Technology (NIST), Information Technology Lab, United States of America, spencer.breiner@nist.gov

Abstract

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In this paper we use formal tools from category theory to develop a foundation for creating and managing models in systems where knowledge is distributed across multiple representations and formats. We define a class of models which incorporate three different representations---computations, logical semantics, and data--as well as model mappings (functors) to establish relationships between them. We prove that our models support model merge operations called colimits and use these to define a methodology for model integration.

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Author(s) 2019

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