Skip to main content
Springer Nature Link
Log in

Digital Visualization Research on the Knowledge Graph of Tujia Brocade Patterns

  • Conference paper
  • First Online:
Culture and Computing (HCII 2025)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 15800))

Included in the following conference series:

  • 220 Accesses

Abstract

Tujia brocade is one of China's national intangible cultural heritages with high cultural and aesthetic values. This paper establishes a model for extracting cultural factors of Tujia brocade, constructs a knowledge map of Tujia brocade patterns and visualizes its design. Cultural factors can focus on the typical factors in the cultural system, and are widely used in cultural research and analysis and re-creation design. Knowledge map describes concepts and their relationships in symbolic form. The design is carried out through the elements of knowledge layer, structure layer, visual layer and user layer included in knowledge visualization. Firstly, the knowledge elements of Tujia brocade pattern are explored through literature review to construct its knowledge layer; secondly, the structural equation model is used to draw the knowledge mapping of the elements of Tujia brocade pattern to construct its structural layer; thirdly, the pattern, color, and semantic connotations in the knowledge map are extracted as design factors to construct its visual layer; and lastly, the hierarchical analysis is used to make decisions on the design factors of the visualization to construct its user layer. This study combines the “similar matching and regression clustering” of knowledge mapping with the “user-centered and iterative innovation” of design thinking, and through the organic fusion of Tujia brocade factors and the visualization design of knowledge mapping, it not only strengthens the cultural value-added of the design, but also contributes to the development of the heritage of the Tujia ethnic culture. Through the organic integration of Tujia brocade factors and knowledge map visualization design, it not only strengthens the cultural added value of the design, but also provides a reference for the inheritance development and innovation transformation of Tujia ethnic culture.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
€34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
EUR 29.95
Price includes VAT (Germany)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
EUR 60.98
Price includes VAT (Germany)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
EUR 79.17
Price includes VAT (Germany)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

') var buybox = document.querySelector("[data-id=id_"+ timestamp +"]").parentNode var buyingOptions = buybox.querySelectorAll(".buying-option") ;[].slice.call(buyingOptions).forEach(initCollapsibles) var buyboxMaxSingleColumnWidth = 480 function initCollapsibles(subscription, index) { var toggle = subscription.querySelector(".buying-option-price") subscription.classList.remove("expanded") var form = subscription.querySelector(".buying-option-form") var priceInfo = subscription.querySelector(".price-info") var buyingOption = toggle.parentElement if (toggle && form && priceInfo) { toggle.setAttribute("role", "button") toggle.setAttribute("tabindex", "0") toggle.addEventListener("click", function (event) { var expandedBuyingOptions = buybox.querySelectorAll(".buying-option.expanded") var buyboxWidth = buybox.offsetWidth ;[].slice.call(expandedBuyingOptions).forEach(function(option) { if (buyboxWidth buyboxMaxSingleColumnWidth) { toggle.click() } else { if (index === 0) { toggle.click() } else { toggle.setAttribute("aria-expanded", "false") form.hidden = "hidden" priceInfo.hidden = "hidden" } } }) } initialStateOpen() if (window.buyboxInitialised) return window.buyboxInitialised = true initKeyControls() })()

Institutional subscriptions

Similar content being viewed by others

References

  1. Chow, W., Shieh, M.D., Chen, C.N.: Explore the image perception of” tujia brocade” based on the Tujia cultural and ecological environment. Ekoloji Dergisi (2019)

    Google Scholar 

  2. Xizi, Z.: Research on derivation and application of Tujia "Yangquehua" pattern in modern dress. Hubei Institute of Fine Arts (2022)

    Google Scholar 

  3. Yifan, H., Yan, L., Yinglei, L.: Living inheritance of the intangible cultural heritage of Tujia brocade. Fangzhi Baogao 41(09), 113–115 (2022)

    Google Scholar 

  4. Yuhe, M.: Application path of Tujia brocade in cultural and creative product design. Fangzhi Baogao 41(04), 46–48 (2022)

    Google Scholar 

  5. Weilin, L.: Exploration of Xiangxi Tujia brocade patterns and their cultural characteristics. Beauty Times (above) 39–42 (2022)

    Google Scholar 

  6. Yang, L.: Research on cultural and creative product design based on artistic symbol of Hunan Tujia brocade. Hunan University of Technology (2022)

    Google Scholar 

  7. Peng, C., Xia, F., Naseriparsa, M., et al.: Knowledge graphs: opportunities and challenges. Artif. Intell. Rev. 56(11), 13071–13102 (2023)

    Article  Google Scholar 

  8. Hogan, A., Blomqvist, E., Cochez, M., et al.: Knowledge graphs. ACM Comput. Surv. (Csur) 54(4), 1–37 (2021)

    Article  Google Scholar 

  9. Cheng, D., Yang, F., Xiang, S., et al.: Financial time series forecasting with multi-modality graph neural network. Pattern Recogn. 121, 108218 (2022)

    Article  Google Scholar 

  10. Zhu, A.: Knowledge graph visualization for understanding ideas. Int. J. Cross Disciplinary Subj. Educ. 3(Special 1), 1392–1396 (2013). https://doi.org/10.20533/ijcdse.2042.6364.2013.0194

    Article  Google Scholar 

  11. Xu, Z., Sheng, Y.P., He, L.R., et al.: Review on knowledge graph techniques. J. Univ. Electron. Sci. Technol. China 45(4), 589–606 (2016)

    Google Scholar 

  12. Zeng-lin, X., Yong-pan, S., Li-rong, H., Ya-fang, W.: Review on knowledge graph techniques. J. Univ. Electron. Sci. Technol. China 45(04), 589–606 (2016)

    Google Scholar 

  13. Lin, Y.: The research and implementation of key technology of construction and retrieval of cultural relics knowledge graph. Zhejiang University (2017)

    Google Scholar 

  14. Xueyan, S., Weimin, Z., Xiangqing, Z.: Research on the construction of knowledge graph of sacrificial vessels in qing dynasty based on archival documents. Libr. Inf. Work 66(03), 140–151 (2022)

    Google Scholar 

  15. Cuijuan, X.: Building a multiple sources of evidence reference system for social memory in the data and intelligence era:exploration of theory and practice. J. Libr. Sci. China 48(05), 86–102 (2022)

    Google Scholar 

  16. Yonahui, L., Shubin, Z., Yuting, Z., Zhangping, L.: Research and implementation on knowledge graph of Zhenjiang poetry in song dynasty based on graph database neo4j. J. Acad. Libr. 39(02), 52–61 (2021)

    Google Scholar 

  17. Carriero, V.A., Gangemi, A., Mancinelli, M.L., et al.: ArCo: the Italian cultural Heritage knowledge graph (2019)

    Google Scholar 

  18. Qin, Z., Xuan, H.: Extraction and application of cultural factors of gannuo mask. Packag. Eng. 42(24), 272–278+285 (2021)

    Google Scholar 

  19. Fan, J.: Research on the factor extraction and design application of Hakka culture in Southern Jiangxi. Furniture Inter. Decoration 60–65 (2021)

    Google Scholar 

  20. Qinchuan, Z., Peiyu, Z., Yang, Z.: Research on the application of ancient pagoda design factors in tang dynasty in furniture decoration patterns. Furniture Inter Decoration 27–31 (2021)

    Google Scholar 

  21. Xiao-wei, S., Bing-hong, Z.: The extraction of cultural factors from Mongolian costume and design application. Packag. Eng. 41(10), 325–330 (2020)

    Google Scholar 

  22. Wang, Y., Luo, S., Yang, Y., et al.: A survey on knowledge graph visualization. J. Comput. Aided Des. Comput. Graph. 31(10), 1666–1676 (2019)

    Google Scholar 

  23. Yusheng, S., Mengzhen, Z., Lijun, Z.: Research progress of knowledge visualization in China: theoretical analysis. Inf. Theor. Pract. 38(11), 126–131 (2015)

    Google Scholar 

  24. Can, L., Xiaoyong, M.: Research on the visual design of animal pattern knowledge of northern bronze ware. 设计 34(19), 48–51 (2021)

    Google Scholar 

  25. Hai-yan, H., La-Gu, A.: Visual design of Oroqen traditional costume culture knowledge map. Packag. Eng. 43(22), 443–456 (2022)

    Google Scholar 

  26. Saaty, T.L.: The analytic hierarchy process (AHP). J. Oper. Res. Soc. 41(11), 1073–1076 (1980)

    Google Scholar 

  27. Tavana, M., Soltanifar, M., Santos-Arteaga, F.J.: Analytical hierarchy process: revolution and evolution. Ann. Oper. Res. 326(2), 879–907 (2023)

    Article  MathSciNet  Google Scholar 

  28. Aydin, S., Kahraman, C.: A new fuzzy analytic hierarchy process and its application to vendor selection problem. J. Multiple Valued Logic Soft Comput. (2013)

    Google Scholar 

  29. Tian, X., Liu, X., Lu, C.: Integrating traditional Chinese patterns into modern aesthetics: a rooted theory study based on Pang Xunqin’s “Chinese Pattern Collection.” Trans/Form/Ação 47, e02400281 (2024)

    Article  Google Scholar 

  30. Gronowski, A., Arness, D.C., Ng, J., et al.: The impact of virtual and augmented reality on presence, user experience and performance of information visualisation. Virtual Reality 28(3), 133 (2024)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Design Art, Changsha University of Science and Technology, Changsha, China

    Shiyuan Zhu & Lingyi Zhao

Authors
  1. Shiyuan Zhu
    View author publications

    Search author on:PubMed Google Scholar

  2. Lingyi Zhao
    View author publications

    Search author on:PubMed Google Scholar

Corresponding author

Correspondence to Lingyi Zhao .

Editor information

Editors and Affiliations

  1. Eindhoven University of Technology, Eindhoven, The Netherlands

    Matthias Rauterberg

Rights and permissions

Reprints and permissions

Copyright information

© 2025 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zhu, S., Zhao, L. (2025). Digital Visualization Research on the Knowledge Graph of Tujia Brocade Patterns. In: Rauterberg, M. (eds) Culture and Computing. HCII 2025. Lecture Notes in Computer Science, vol 15800. Springer, Cham. https://doi.org/10.1007/978-3-031-93160-4_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-93160-4_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-93159-8

  • Online ISBN: 978-3-031-93160-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics