Data-driven design and innovation is a process to reuse and provide valuable and useful information. However, existing semantic networks for design innovation is built on data source restricted to technological and scientific information. Besides, existing studies build the edges of a semantic network only on either statistical or semantic relationships, which is less likely to make full use of the benefits from both types of relationships and discover implicit knowledge for design innovation. Therefore, we constructed WikiLink, a semantic network based on Wikipedia. Combined weight which fuses both the statistic and semantic weights between concepts is introduced in WikiLink, and four algorithms are developed for inspiring new ideas. Evaluation experiments are undertaken and results show that the network is characterised by high coverage of terms, relationships and disciplines, which proves the network's effectiveness and usefulness. Then a demonstration and case study results indicate that WikiLink can serve as an idea generation tool for innovation in conceptual design. The source code of WikiLink and the backend data are provided open-source for more users to explore and build on.
翻译:数据驱动的设计和创新是一个再利用和提供宝贵有用信息的过程,然而,现有的设计创新的语义网络是建立在限于技术和科学信息的数据源基础上的;此外,现有的研究只能通过统计或语义关系来建立语义网络的边缘,这不太可能充分利用这两类关系的好处,并发现设计创新的隐含知识;因此,我们建造了维基Link,这是一个基于维基百科的语义网络;维基Link引入了将各种概念之间的统计和语义权重结合起来的混合权重,并开发了四种算法,以激发新的思想;进行了评估实验,结果显示网络的特点是术语、关系和学科覆盖面大,证明了网络的有效性和有用性;随后,示范和案例研究结果表明,维基Link可以作为概念设计创新的创意工具。维基连的源码和后端数据为更多用户探索和扩展提供了开放源。