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Transforming expertise into Knowledge-Based Engineering tools: A survey of knowledge sourcing in the context of engineering design

机译:将专业知识转化为基于知识的工程工具:工程设计背景下的知识获取调查

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Research on Engineering Knowledge Management (EKM) has identified challenges with the systematic source of engineering knowledge for the design process optimisation. In this context, Knowledge-Based Engineering (KBE) is acknowledged as a key area within the EKM field and designated by the research community as a potential solution to carry out the effective capture and reuse of expert knowledge. However, papers on KBE for knowledge sourcing are not abundant in the literature and they are also dispersed. From this perspective, this research is an effort to further consolidate the learning gained on industrial practice on how engineering knowledge can be effectively sourced. This is achieved by realising a research survey, where using the resulting insights KBE practice reaching aerospace engineering offices shall be more efficiently delivered through fast and accurate knowledge extraction and encoding into usable methods and tools. The research findings provided by literature survey confirmed the existence of a research gap on knowledge sourcing; and more precisely they underlined the need for an extended KBE development process which integrates Artificial Intelligence (Al) tools and expert intervention to systematically manage the knowledge (using the KM methods and tools) efficiently captured and modelled (employing Al algorithms and expert involvement). Therefore, this paper concludes that there is a need for further research on the knowledge sourcing KBE aspect and presents the integration of KBE systems and Al implementations as a potential solution to develop the extended KBE development process requested by the industry. (C) 2015 Elsevier B.V. All rights reserved.
机译:工程知识管理(EKM)研究已经确定了优化设计过程所需的工程知识的系统来源所面临的挑战。在这种情况下,基于知识的工程(KBE)被认为是EKM领域内的关键领域,并被研究界指定为有效捕获和重用专家知识的潜在解决方案。但是,有关知识获取的KBE的论文在文献中并不丰富,而且也很分散。从这个角度出发,这项研究旨在进一步巩固从工业实践中获得的关于如何有效地获取工程知识的知识。这是通过实现一项研究调查来实现的,在调查研究中,应使用所获得的见解,通过快速,准确的知识提取并将其编码为可用的方法和工具,更有效地交付航空工程部门的KBE实践。文献调查提供的研究结果证实了在知识采购方面存在研究空白。更确切地说,他们强调需要扩展的KBE开发流程,该流程集成了人工智能(Al)工具和专家干预,以有效地捕获和建模(使用Al算法和专家参与)来系统地管理知识(使用KM方法和工具)。因此,本文得出结论,需要在知识采购KBE方面进行进一步研究,并提出KBE系统和Al实施的集成,作为开发行业要求的扩展KBE开发过程的潜在解决方案。 (C)2015 Elsevier B.V.保留所有权利。

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