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A Robust Ontology for Manufacturing Systems Integration



Amy Knutilla, Craig I. Schlenoff, Robert W. Ivester


In all types of communication, the ability to share information is often hindered because the meaning of information can be drastically affected by the context in which it is viewed and interpreted. This is especially true in manufacturing because of the growing complexity of manufacturing information and the increasing need to exchange this information among various software applications. Different manufacturing functions my use different terms to mean the exact same concept or use the exact same term to mean very different concepts. Often, the loosely defined natural language definitions associated with the terms contain so much ambiguity that they do not make the differences evident and/or do not provide enough information to resolve the differences. A solution to this problem is to develop a taxonomy, or ontology, of manufacturing concepts and terms along with their respective formal and unambiguous definitions. This paper focuses on an effort at the National Institute of Standards and Technology to identify, formally define, and structure the semantic concepts intrinsic to the capture and exchange of discrete manufacturing process information.

Proceedings Title
Proceedings of 2nd International Conference on Engineering Design and Automation
Conference Dates
August 7-14, 1998
Conference Location
Maui, HI


manufacturing systems integration, ontological engineering, ontology, process ontology, process specification


Knutilla, A. , Schlenoff, C. and Ivester, R. (1998), A Robust Ontology for Manufacturing Systems Integration, Proceedings of 2nd International Conference on Engineering Design and Automation, Maui, HI, [online], (Accessed April 14, 2024)
Created August 1, 1998, Updated February 17, 2017