Skip to main content

The Method of Mining the Relationship Between the Use of Architectural Elements in Buildings and Cultural Connotation It Reflects: Case of Beijing’s Representative Buildings

  • Conference paper
  • First Online:
Culture and Computing. Interactive Cultural Heritage and Arts (HCII 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12794))

Included in the following conference series:

  • 1995 Accesses

Abstract

Aiming at representative buildings in Beijing, to dig out the cultural factors reflected behind the use of architectural elements in buildings, a set of cultural calculation processes for data collection, quantitative modeling, and analysis have been completed. Firstly, organize and analyze Beijing buildings’ entities and relationships and the architectural elements they use and obtain related corpora. Secondly, use natural language processing methods to complete the structuring and vectorization of the corpus. Finally, combine the clustering algorithm results with the prior knowledge in the humanities field to produce conclusions. It concludes that the word vector cluster clustered by semantics can significantly represent the cultural source of the architectural elements in the corresponding category, so the application of the architectural elements to the elements can reflect the cultural connotations behind them.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • 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

Institutional subscriptions

References

  1. Wang, H.: The development and inheritance of traditional architectural culture in modern architecture. Dev. Guide Build. Mat. (Part 1) 17(9), 135 (2019). https://doi.org/10.3969/j.issn.1672-1675.2019.09.119

  2. Wang, Q.: Study on Traditional Elements in Contemporary Architectures in Beijing. North China University of Technology (2011)

    Google Scholar 

  3. Mikolov, T., Chen, K., Corrado, G., et al.: Efficient estimation of word representations in vector space. Comput. Sci. (2013)

    Google Scholar 

  4. Vaswani, A., et al.: Attention is all you need. In: Advances in Neural Information Processing Systems (2017)

    Google Scholar 

  5. Beijing city construction master plan.Beijing: Ministry of Housing and Urban-Rural Development of the People’s Republic of China (2001)

    Google Scholar 

  6. Ma, S.: Analysis on the Inheritance and application of traditional architecture culture in modern architecture design. Archit. Eng. Technol. Des. (33), 862 (2019). https://doi.org/10.12159/j.issn.2095-6630.2019.33.0823

  7. Miao, Y.: Research on assessments and inheritance method of chinese traditional urban contextual constitutions. Urban Plan. Forum (04), 40–44 + 27 (2005)

    Google Scholar 

  8. Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735–1780 (1997)

    Article  Google Scholar 

  9. Sutskever, I., Vinyals, O., Le, Q.V.: Sequence to sequence learning with neural networks. In: Advances in Neural Information Processing Systems (2014)

    Google Scholar 

  10. Devlin, J., Chang, M.W., Lee, K., et al.: BERT: pre-training of deep bidirectional transformers for language understanding (2018)

    Google Scholar 

  11. Zhao, J., Song, M., Gao, X.: Summary of the development and application of natural language processing. Inf. Technol. Inf. 000(007), 142–145 (2019)

    Google Scholar 

  12. Goldberg, Y., Levy, O.: Word2Vec explained: deriving Mikolov et al. ’s negative-sampling word-embedding method. Eprint Arxiv, 3–5 (2014)

    Google Scholar 

  13. Wang, N.: Research on Affecting Factors of Word2vec Training Optimization. SoochowUniversity (2018)

    Google Scholar 

  14. Wang, R., Chen, C., Meng, X.: Semantic retrieval technology of academic resources based on word embedding extension. Libr. Inf. Ser. 62(19), 111–119 (2018)

    Google Scholar 

  15. Wang, F., Tan, X.: Research On optimization strategy of training performance based on Word2Vec. Comp. Appl. Softw. 35(01), 97–102+174 (2018)

    Google Scholar 

  16. Goldberg, Y., Levy, O.: Word2Vec Explained:deriving Mikolov et al. ’s negative-sampling word-embedding method. Eprint Arxiv, 3–5 (2014)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Hou, Wj., He, Qy., Li, T., Bai, B. (2021). The Method of Mining the Relationship Between the Use of Architectural Elements in Buildings and Cultural Connotation It Reflects: Case of Beijing’s Representative Buildings. In: Rauterberg, M. (eds) Culture and Computing. Interactive Cultural Heritage and Arts. HCII 2021. Lecture Notes in Computer Science(), vol 12794. Springer, Cham. https://doi.org/10.1007/978-3-030-77411-0_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-77411-0_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-77410-3

  • Online ISBN: 978-3-030-77411-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics