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An ontology-based method for the development of a troubleshooting configuration system

机译:用于开发故障排除配置系统的基于本体的方法

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A troubleshooting configuration is a critical way to implement the specific paradigm by integrating a set of specific elements to satisfy both technical criteria and users' needs. With the objective of enabling efficient generation of automotive troubleshooting configuration by reusing configuration knowledge, an ontology-based approach to building troubleshooting configuration knowledge is presented in this study. The utilisation of ontologies as metadata descriptions of the information sources is a possible approach to offering an integrated view of multiple elements libraries. A configuration meta-model is defined. The meta-concepts have explicit ontological semantics, so that they assist to identify domain concepts consistently and structure them systematically. As a result, configuration models have well-defined semantics due to the logic semantics of web ontology language (OWL), making it possible to automatically detect inconsistencies of configuration knowledge bases. Actual configuration processes are executed using jess, a rule engine for the Java platform, by mapping OWL-based configuration facts and semantic web rule language (SWRL)-based configuration criteria into jess facts and jess rules, respectively. Modelling ontologies of real automotive standard braking system is taken as an example task to show how to use the metaconcepts for configuring the troubleshooting information.
机译:故障排除配置是通过集成一组特定元素以满足技术标准和用户需求的方法来实施特定范例的关键方法。为了通过重用配置知识来有效地生成汽车故障诊断配置,本研究提出了一种基于本体的方法来构建故障诊断配置知识。利用本体作为信息源的元数据描述是提供多个元素库的集成视图的一种可能方法。定义了配置元模型。元概念具有明确的本体语义,因此它们有助于一致地识别领域概念并系统地构造它们。结果,由于Web本体语言(OWL)的逻辑语义,配置模型具有定义明确的语义,从而可以自动检测配置知识库的不一致之处。通过将基于OWL的配置事实和基于语义Web规则语言(SWRL)的配置标准分别映射到jess事实和jess规则中,使用Java平台的规则引擎jess执行实际的配置过程。以实际汽车标准制动系统的建模本体为例,说明如何使用元概念来配置故障排除信息。

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