Hostname: page-component-cb9f654ff-k7rjm Total loading time: 0 Render date: 2025-08-20T23:24:08.185Z Has data issue: false hasContentIssue false
  • English
  • Français

The Construction of Design Science Knowledge Graphs - Based on National Natural Science Foundation of China

Part of: Knowledge-based Engineering

Published online by Cambridge University Press:  26 July 2019

Jiang Xu ,
Gang Sun ,
Xifan Ou ,
Jingyu Xu ,
Han Lu ,
Pujie Su ,
Qiushi Wei  and
Man Ding
Jiang Xu
Affiliation:
Tongji University;
Gang Sun*
Affiliation:
Tongji University;
Xifan Ou
Affiliation:
Tongji University;
Jingyu Xu
Affiliation:
Tongji University;
Han Lu
Affiliation:
Tongji University;
Pujie Su
Affiliation:
Tongji University;
Qiushi Wei
Affiliation:
Tongji University;
Man Ding
Affiliation:
Hebei University of Technology
*
Contact: Sun, Gang, Tongji University, College of Design and Innovation, China, People's Republic of 1810839768@qq.com

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

In the era of knowledge networking, the structure and production mode of knowledge are constantly changing. This article creatively introduces the knowledge mapping method in design research, and based on the perspective of the National Natural Science Foundation of China (NSFC) to compile literature, uses word frequency analysis, co-word analysis, and citation analysis to construct knowledge graphs of design science. This study graphically shows the distribution and flow law of knowledge within design discipline and probes into the research frontier and evolution trend of Chinese design science.

Keywords

Design theoryKnowledge graphyResearch methodologies and methodsDesign methodologyNSFC

Information

Type
Article
Information
Proceedings of the Design Society: International Conference on Engineering Design , Volume 1 , Issue 1 , July 2019 , pp. 2607 - 2616
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Author(s) 2019

References

Aken, JEV. (2005), “Valid knowledge for the professional design of large and complex design processes”, Design Studies, Vol. 26 No. 4, pp. 379–404.Google Scholar
Chaomei, C. (2006), “CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature”, Journal of the American Society for Information Science and Technology, Vol. 57 No. 3, pp. 359–377.Google Scholar
Chiou, S.J. and Kota, S. (1999), “Automated conceptual design of mechanisms”, Mechanism and Machine Theory, Vol. 34 No. 3, pp. 476–495.Google Scholar
Cross, N. (2007), “Forty years of design research”, Design Studies, Vol. 28 No. 1, pp. 1–4.Google Scholar
Feng, P. Chen, Y. Zhang, S. and Shuangxia, P. (2002), “Product gene based conceptual design”, Chinese Journal of Mechanical Engineering, Vol. 38 No. 10, pp. 1–6.Google Scholar
Feng, P. Zhu, A. Chen, Y. Zhang, S. and He, B. (2004), “Establishing knowledge base of product genes for conceptual design of energy transforming systems”, Journal of Engineering Design, Vol. 11 No. 3, pp. 113–118.Google Scholar
Garfield, E., Sher, I. and Torpie, R.J. (1964), “The use of citation data in writing the history of science”, Philadelphia Institute of Scientific Information, Vol. 86 No. 4.Google Scholar
Guo, Y. (2011), “General review on the methodology of current design research”, Landscape Garden, Vol. 2011 No. 2, pp. 68–71.Google Scholar
He, B., Feng, P. and Pan, S. (2007), “Share strategies and usage methods of distributed conceptual design knowledge resource”, Journal of Zhejiang University, Vol. 41 No. 8, pp. 1383–1388.Google Scholar
Kretschmer, H. (2004), “Author productivity and geodesic distance in bibliographic co-authorship networks, and visibility on the Web”, Scientometrics, Vol. 60 No. 3, pp. 409–420.Google Scholar
Li, J. Tian, F. and Dai, G. (2005), “Research on Pen-Based Interaction Information Model”, Journal of Software, Vol. 16 No. 1, pp. 50–57.Google Scholar
Li, Y. Tang, J. Pu, Y. and Yao, J. (2007), “Sorting algorithm of customer requirements in quality function deployment”, Computer Integrated Manufacturing Systems, Vol. 13 No. 6, pp. 1196–1203.Google Scholar
Liang, Y. Liu, Z. and Yang, Z. (2010), “Explore and discussion on knowledge flowing theory of citation analytics”, Studies in Science of Science, Vol. 28 No. 5, pp. 668–674.Google Scholar
Liu, X., Yu, S. and Lu, C. (2004), “Study on Ergonomics CAD of Complex Surface Design in Products”, Application Research of Computers, Vol. 21 No. 12, pp. 36–38.Google Scholar
Liu, Z. Chen, Y. and Hou, H. (2008), Science Knowledge Atlas: Methods and Applications, People's Publishing House, Beijing.Google Scholar
Mitsuo, N. (1995), “Kansei Engineering: A new ergonomic consumer-oriented technology for product development”, International Journal of Industrial Ergonomics, Vol. 15 No. 1, pp. 3–11.Google Scholar
Nagamachi, M. (2002), “Kansei engineering as a powerful consumer-oriented technology for product development”, Applied Ergonomics, Vol. 33 No. 3, pp. 89–94.Google Scholar
Obrenovic, Z. and Starcevic, D. (2004), “Modeling Multimodal Human-Computer Interaction”, Computer, Vol. 37 No. 9, pp. 65–72.Google Scholar
Pahl, G. and Beitz, W. (1984), Engineering Design, Design Council, London.Google Scholar
Su, C.Y., Chen, S.J. and Lin, L. (2003), “A structured approach to measuring functional dependency and sequencing of coupled tasks in engineering design”, Pergamon Press, Inc., Vol. 45 No. 1, pp. 195–214.Google Scholar
Suh, N.P. (2001), “Axiomatic Design: Advances and Applications”, MIT-Pappalardo Series in Mechanical Engineering.Google Scholar
Tang, D. Qian, X. Wang, X. and Lou, P. (2007), “Coevolution mechanism between axiomatic design matrix and design structure matrix”, Computer Integrated Manufacturing Systems, Vol. 13 No. 8, pp. 1465–1469.Google Scholar
Tseng, M.M., Jianxin, J. and Merchant, M.E. (1996), “Design for Mass Customization”, CIRP Annals, Vol. 45 No. 1, pp. 153–156.Google Scholar
Wang, H. and Sun, B. (2005), “Modular product configuration design for customer requirement-driven engineering”, Chinese Journal of Mechanical Engineering, Vol. 41 No. 4, pp. 85–91.Google Scholar
Wang, H. Wang, J. and Sun, B. (2005), “Optimization design of modularized product family based on kernel platform”, Computer Integrated Manufacturing Systems, Vol. 11 No. 2.Google Scholar
Wang, X. Tang, D. Lou, P. and Ma, W. (2008), “Axiomatic-design-based design method of the programmable logic controller control system”, Computer Integrated Manufacturing Systems, Vol. 14 No. 11, pp. 1465–1469.Google Scholar
Zhang, G., Yin, G. Deng, K. and Cheng, E. (2005), “Modified real - coded genetic algorithm and its application to layout design”, Computer Integrated Manufacturing Systems, Vol. 11 No. 10, pp. 1451–1455.Google Scholar