Ontologies for Integrating Engineering Applications

Author:

Ciocoiu Mihai1,Nau Dana S.1,Gruninger Michael2

Affiliation:

1. Department of Computer Science and Institute for Systems Research University of Maryland College Park, MD 20742

2. Institute for Systems Research University of Maryland College Park, MD 20742

Abstract

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 representations of the same information may be based on different assumptions about the world, and use differing concepts and terminology—and conversely, the same terms may be used in different contexts to mean different things. Often, the loosely defined natural-language definitions associated with the terms will be too ambiguous to make the differences evident, or will not provide enough information to resolve the differences. A solution to this problem is the use of taxonomies or ontologies of manufacturing concepts and terms, because ontologies provide a way to make explicit the semantics (i.e., the meaning) for the concepts used, rather than relying just on the syntax used to encode those concepts. Ontological techniques can be useful for giving unambiguous definitions of product and process capabilities and evolving designs and design requirements, unifying the differences in how knowledge is conceptualized across multiple product and process domains, and translating those definitions into the specialized representation languages of application systems. This paper gives an overview of current research and development on ontologies as it relates to mechanical engineering applications, along with examples of how ontologies can be used to facilitate the exchange of information among manufacturing applications.

Publisher

ASME International

Subject

Industrial and Manufacturing Engineering,Computer Graphics and Computer-Aided Design,Computer Science Applications,Software

Reference37 articles.

1. Gruber, T. R., 1993, “Toward Principles of the Design of Ontologies Used for Knowledge Sharing,” in International Workshop on Formal Ontology in Conceptual Analysis and Knowledge Representation, Padova, Italy.

2. Lenat, D. , 1995, “Cyc: A Large-scale Investment in Knowledge Infrastructure,” Commun. ACM, 38, pp. 33–38.

3. Enderton, H. B., 1972, A Mathematical Introduction to Logic, Academic Press, New York.

4. Sowa, J. F., 2000, Knowledge Representation: Logical, Philosophical, and Computational Foundations, Brooks Cole Publishing, Pacific Grove, California.

5. Genesereth, M. R., and Fikes, R. E., 1992, Knowledge Interchange Format Version 3.0 Reference Manual. Technical Report, Logic Group, Stanford University, CA.

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