论文标题
设计表示为语义网络
Design Representation as Semantic Networks
论文作者
论文摘要
设计表示是设计过程中的一项常见任务，以促进学习，分析，重新设计，沟通和其他设计活动。传统的代表技术取决于人类的专业知识和手动构建，并且很难重复和扩展。在这里，我们提出了一种方法，该方法利用预先训练的大规模跨域设计知识库自动根据文本或自然语言的设计描述，将设计表示作为语义网络，即实体和关系的网络。我们的方法不需要临时统计。基于一项参与性研究，我们揭示了使用替代知识库自动生成的语义网络表示的有效性和差异。这些发现阐明了未来的研究方向，以增强设计表示作为语义网络。
Design representation is a common task in the design process to facilitate learning, analysis, redesign, communication, and other design activities. Traditional representation techniques rely on human expertise and manual construction and are difficult to repeat and scale. Here, we propose a methodology that utilizes a pre-trained large-scale cross-domain design knowledge base to automatically generate design representation as a semantic network, i.e., a network of the entities and relations, based on design descriptions in texts or natural languages. Our methodology requires no ad hoc statistics. Based on a participatory study, we reveal the effectiveness and differences of the semantic network representations that are automatically generated with alternative knowledge bases. The findings illuminate future research directions to enhance design representation as semantic networks.
