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An ontology-based knowledge framework for engineering material selection

机译：基于本体的工程材料选择知识框架

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摘要

Engineering material selection intensively depends on domain knowledge. In the face of the large number and wide variety of engineering materials, it is very necessary to research and develop an open, shared, and scalable knowledge framework for implementing domain-oriented and knowledge-based material selection. In this paper, the fundamental concepts and relationships involved in all aspects of material selection are analyzed in detail. A novel ontology-based knowledge framework is presented. The ontology-based Semantic Web technology is introduced into the semantic representation of material selection knowledge. The implicit material selection knowledge is represented as a set of labeled instances and RDF instance graphs in terms of the concept model, which provides a formal approach to organizing the captured material selection knowledge. A knowledge retrieval and reasoning approach integrating ontology concepts, instances, knowledge rules, and semantic queries encoded with Query-enhanced Web Rule Language (SQWRL) is proposed. The presented knowledge framework can provide powerful knowledge services for material selection. Finally, based on this knowledge framework, a case study on constructing a mold material selection knowledge system is provided. This work is a new attempt to build an open and shared knowledge framework for engineering material selection.
机译：工程材料的选择很大程度上取决于领域知识。面对大量的工程材料，非常有必要研究和开发一个开放，共享和可扩展的知识框架，以实施面向领域和基于知识的材料选择。在本文中，详细分析了材料选择各个方面涉及的基本概念和关系。提出了一种新颖的基于本体的知识框架。基于本体的语义网技术被引入到材料选择知识的语义表示中。根据概念模型，隐式材料选择知识表示为一组带标签的实例和RDF实例图，这为组织捕获的材料选择知识提供了一种正式方法。提出了一种结合了本体概念，实例，知识规则和用查询增强的Web规则语言（SQWRL）编码的语义查询的知识检索和推理方法。提出的知识框架可以为材料选择提供强大的知识服务。最后，在此知识框架的基础上，提供了构建模具材料选择知识系统的案例研究。这项工作是建立开放和共享的工程材料选择知识框架的新尝试。

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