There are growing efforts to mine public and common-sense semantic network databases for engineering design ideation stimuli. However, there is still a lack of design ideation aids based on semantic network databases that are specialized in engineering or technology-based knowledge. In this study, we present a new methodology of using the Technology Semantic Network (TechNet) to stimulate idea generation in engineering design. The core of the methodology is to guide the inference of new technical concepts in the white space surrounding a focal design domain according to their semantic distance in the large TechNet, for potential syntheses into new design ideas. We demonstrate the effectiveness in general, and use strategies and ideation outcome implications of the methodology via a case study of flying car design idea generation.

中文翻译：

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使用技术语义网络生成创意

人们越来越多地努力挖掘公共和常识语义网络数据库以获取工程设计构思刺激。然而，仍然缺乏基于语义网络数据库的设计构思辅助工具，这些数据库专门研究工程或技术知识。在这项研究中，我们提出了一种使用技术语义网络 (TechNet) 来刺激工程设计中产生想法的新方法。该方法的核心是根据它们在大型 TechNet 中的语义距离，指导在围绕焦点设计域的空白空间中推断新技术概念，以便潜在地综合成新的设计理念。我们通过飞行汽车设计理念生成的案例研究证明了总体有效性，并使用该方法的策略和理念结果影响。