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Constructing Ontology for Knowledge Sharing of Materials Failure Analysis

Authors:

Peng Shi ,

National Center for Materials Service Safety, University of Science and Technology Beijing, Beijing, China, CN
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Jindong Huo,

National Center for Materials Service Safety, University of Science and Technology Beijing, Beijing, China, CN
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Qingmei Wang

National Center for Materials Service Safety, University of Science and Technology Beijing, Beijing, China
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Abstract

Materials failure indicates the fault with materials or components during their performance. To avoid the reoccurrence of similar failures, materials failure analysis is executed to investigate the reasons for the failure and to propose improved strategies. The whole procedure needs sufficient domain knowledge and also produces valuable new knowledge. However, the information about the materials failure analysis is usually retained by the domain expert, and its sharing is technically difficult. This phenomenon may seriously reduce the efficiency and decrease the veracity of the failure analysis. To solve this problem, this paper adopts ontology, a novel technology from the Semantic Web, as a tool for knowledge representation and sharing and describes the construction of the ontology to obtain information concerning the failure analysis, application area, materials, and failure cases. The ontology represented information is machine-understandable and can be easily shared through the Internet. At the same time, failure case intelligent retrieval, advanced statistics, and even automatic reasoning can be accomplished based on ontology represented knowledge. Obviously this can promote the knowledge sharing of materials service safety and improve the efficiency of failure analysis. The case of a nuclear power plant area is presented to show the details and benefits of this method.
DOI: http://doi.org/10.2481/dsj.12-047
How to Cite: Shi, P., Huo, J. & Wang, Q., (2014). Constructing Ontology for Knowledge Sharing of Materials Failure Analysis. Data Science Journal. 12, pp.181–190. DOI: http://doi.org/10.2481/dsj.12-047
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Published on 07 Jan 2014.
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