论文标题
工程设计的语义网络：调查
Semantic Networks for Engineering Design: A Survey
论文作者
论文摘要
在过去的十年中，语义网络的使用越来越多，例如在工程设计研究中利用大规模的预训练的图形知识数据库来进行各种自然语言处理（NLP）任务。因此，本文提供了对工程设计研究社区中使用语义网络的研究的调查。该调查显示，工程设计研究人员主要依赖WordNet，ConceptNet和其他常见的语义网络数据库，这些数据库培训了非工程数据源，以开发用于工程设计的方法或工具。同时，有新兴的努力为大规模技术出版物和专利数据库构建工程文化化语义网络数据库，例如B-Link和Technet，以支持工程设计中的NLP。在此基础上，我们建议未来的研究方向，以在工程设计研究和实践中与工程相关的语义网络的构建和应用。
There have been growing uses of semantic networks in the past decade, such as leveraging large-scale pre-trained graph knowledge databases for various natural language processing (NLP) tasks in engineering design research. Therefore, the paper provides a survey of the research that has employed semantic networks in the engineering design research community. The survey reveals that engineering design researchers have primarily relied on WordNet, ConceptNet, and other common-sense semantic network databases trained on non-engineering data sources to develop methods or tools for engineering design. Meanwhile, there are emerging efforts to mine large scale technical publication and patent databases to construct engineering-contextualized semantic network databases, e.g., B-Link and TechNet, to support NLP in engineering design. On this basis, we recommend future research directions for the construction and applications of engineering-related semantic networks in engineering design research and practice.
