Workshop on Mechanical Engineering Design Knowledge Modeling; Washington, DC; 28 August 2011

该奖项的目标是举办一个为期一天的研讨会，目的是明确定义一个研究计划，以获取、表示和建模机械工程设计知识，以便研究、学术和工业界在近期和长期内都能追求。人们设想一种机械工程的形式化语言，使工程师之间以及与计算机之间的交流更加精确。生成的形式化的ME设计知识和语言将在开放知识存储库中编码和实现。这样的知识存储库可以捕获典型本科生的不同的和具有代表性的不同的ME知识，提供许多好处，包括：1)ME知识的标准；2)支持工程设计的知识库；3)计算机辅助辅导系统的知识库；4)是机电工程研究和教育基础设施的关键组成部分。人工智能、工程信息学、描述逻辑学和语义网与机械工程设计研究的融合将成为实现本研究计划和研讨会愿景的有利因素。如果成功，这项工作可能会影响美国的经济和国家安全，因为一个工程科学知识库可以增加那些拥有工程科学原理应用以外专业知识的美国毕业生的价值。针对ME知识库的研究议程的成功定义有可能产生变革性的结果。研究界对高影响力研究领域认识的提高将增加对知识建模的兴趣。将ME知识存储库作为教育基础设施的一部分，可以使用多种方法和工具。知识库也有潜力成为ME教育研究以及一般ME研究的宝贵资源。讲习班的联网功能将在广泛跨越该领域的个人之间建立新的关系。这个机会将为新的互动和合作提供刺激，以推进工程知识建模的艺术状态。我们应该认识到这项工作对工程教育、工程信息建模、知识建模和语义网等关键领域的潜在影响。研究结果将通过演讲、会议论文和期刊文章进行传播。

The objective of this award will be to conduct a one day workshop with the aim of clearly defining a research program for capturing, representing, and modeling mechanical engineering design knowledge that the research, academic, and industrial community can pursue in both the near and long term. A formalized language of mechanical engineering is envisioned that will allow engineers to communicate more precisely between each other and with computers. The resulting formalized ME design knowledge and language will be encoded and implemented in an open-knowledge repository. Such a knowledge repository could capture the disparate and representationally diverse ME knowledge of typical undergraduate students providing numerous benefits, including: 1) a standard for ME knowledge; 2) a knowledge base to support engineering design; 3) a knowledge base for computer-aided tutoring systems; and 4) a key component of the ME research and education infrastructure. A convergence of artificial intelligence, engineering informatics, description logics, and the semantic web with mechanical engineering design research will be the enabling factor to realize the vision of this research proposal and workshop. If successful, the work may impact US economic and national security since a ME knowledge repository could increase the value of US graduates who have expertise beyond just the application of engineering science principles. Successful definition of a research agenda toward an ME knowledge repository has the potential for transformational outcomes. Increased awareness in the research community of high-impact research areas will increase interest in knowledge modeling. Establishing an ME knowledge repository as part of the educational infrastructure enables myriad methods and tools. The knowledge repository also has the potential to be a valuable resource for ME education research, as well as ME research in general. The networking function of the workshop will establish new relationships between individuals spanning widely across the field. This opportunity will provide a stimulus for new interactions and collaboration to advance the state of the art in engineering knowledge modeling. An understanding should emerge of the potential for this work to impact critical areas of engineering education, engineering information modeling, knowledge modeling, and the semantic web. The results will be disseminated through presentations, conference papers, and journal articles.