TY - GEN
T1 - A Design Knowledge Transfer Method Based on Cross-Domain Knowledge Network
AU - Liu, Haibo
AU - Gong, Lin
AU - Zhang, Xianpeng
AU - Liu, Xin
AU - Mo, Zhenchong
AU - Cui, Haoran
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The primary service target of design theory and methodology is designers. Based on designers' cognitive modes during design activities, the pivotal objectives of design theory and methodology research are to utilize design knowledge to generate design ideas and enhance innovation capabilities. In the realm of engineering design, the stimulatory effect of domain-specific knowledge on design is somewhat limited. As an instance of long-distance knowledge within the engineering field, interdisciplinary knowledge, particularly represented by the biology domain, holds significant application potential. However, designers often find it challenging to effectively harness this knowledge. To address this issue, we consider biology domain knowledge as long-distance knowledge and propose a knowledge transfer method tailored for engineering-biology domain design, leveraging cross-domain knowledge networks. We delve into the underlying semantic and contextual relationships between engineering and biology domain knowledge. Through sampling, we facilitate a bidirectional transfer of knowledge between these domains. Ultimately, we present two types of knowledge transfer application scenarios. In conceptual design, this method can bolster the cognitive and creative generation process, facilitate the application of biology domain knowledge in the engineering field, and assist designers in generating high-quality design ideas.
AB - The primary service target of design theory and methodology is designers. Based on designers' cognitive modes during design activities, the pivotal objectives of design theory and methodology research are to utilize design knowledge to generate design ideas and enhance innovation capabilities. In the realm of engineering design, the stimulatory effect of domain-specific knowledge on design is somewhat limited. As an instance of long-distance knowledge within the engineering field, interdisciplinary knowledge, particularly represented by the biology domain, holds significant application potential. However, designers often find it challenging to effectively harness this knowledge. To address this issue, we consider biology domain knowledge as long-distance knowledge and propose a knowledge transfer method tailored for engineering-biology domain design, leveraging cross-domain knowledge networks. We delve into the underlying semantic and contextual relationships between engineering and biology domain knowledge. Through sampling, we facilitate a bidirectional transfer of knowledge between these domains. Ultimately, we present two types of knowledge transfer application scenarios. In conceptual design, this method can bolster the cognitive and creative generation process, facilitate the application of biology domain knowledge in the engineering field, and assist designers in generating high-quality design ideas.
KW - cross-domain knowledge network
KW - innovative design
KW - knowledge transfer
UR - http://www.scopus.com/inward/record.url?scp=85211918818&partnerID=8YFLogxK
U2 - 10.1109/ICDS62420.2024.10751692
DO - 10.1109/ICDS62420.2024.10751692
M3 - Conference contribution
AN - SCOPUS:85211918818
T3 - 2024 2nd International Conference on Design Science, ICDS 2024
BT - 2024 2nd International Conference on Design Science, ICDS 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Design Science, ICDS 2024
Y2 - 2 August 2024 through 4 August 2024
ER -