Constructing Ontology for Knowledge Sharing of Materials Failure Analysis
Constructing Ontology for Knowledge Sharing of Materials Failure Analysis
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DOI：
10.2481/dsj.12-047
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发表时间：
2014-01
期刊：
影响因子：
--
通讯作者：
Peng Shi;Jindong Huo;Qingmei Wang
中科院分区：
文献类型：
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作者：
Peng Shi;Jindong Huo;Qingmei Wang
材料失效是指材料或部件在其使用过程中出现的故障。为了避免类似故障的再次发生，对材料进行失效分析，找出失效原因，并提出改进策略。整个过程需要足够的领域知识，同时也产生了有价值的新知识。然而，材料失效分析的信息通常由领域专家保留，其共享在技术上是困难的。这种现象可能会严重降低故障分析的效率和准确性。为了解决这一问题，本文采用语义网的新技术本体作为知识表示和共享的工具，描述了本体的构建，以获取关于失效分析、应用领域、材料和失效案例的信息。本体表示的信息是机器可理解的，并且可以很容易地通过互联网共享。同时，基于本体表示的知识可以实现故障案例的智能检索、高级统计甚至自动推理。显然，这可以促进材料使用安全知识的共享，提高失效分析的效率。最后，以某核电厂区域为例，说明了该方法的可行性和优越性。
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.