Skip to main content
SpringerLink
Log in

Research on Big Data System Based on Cultural Tourism in Dongguan

  • Conference paper
  • First Online:
Artificial Intelligence Algorithms and Applications (ISICA 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1205))

Included in the following conference series:

Abstract

This paper proposes a big data platform based on cultural tourism in Dongguan, Guangdong, China, which mainly includes data acquisition system, storage system and intelligent analysis system. Using web search data to analyze the relevance of tourism destinations, construct a search index to measure tourism demand, and analyze the tourists’ demand for characteristic cultural tourism through field research, and provide corresponding countermeasures for tourism management departments; The tourism information intelligent collaborative method analyzes the tourism information intelligent collaborative system under big data and analyzes the results based on time series network data. The tourism information intelligent collaborative method based on big data analysis has strong anti-interference ability and strong timeliness. It has high research and judgment strategy for massive data analysis, and can quickly and accurately classify tourism information and extract the tourism products needed by users. The design meets the analysis information and processing requirements of the tourism system for big data.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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. Dongguan Cultural Radio and Television Tourism Sports Conference. http://www.timedg.com/2019-03/14/20818306.shtml. Accessed 2 Nov 2019

  2. De Mauro, A., Greco, M., Grimaldi, M.: A formal definition of Big Data based on its essential features. Libr. Rev. 65(3), 122–135 (2016)

    Article  Google Scholar 

  3. Lu, Y., Xu, X.: Cloud-based manufacturing equipment and big data analytics to enable on-demand manufacturing services. Robot. Comput. Integr. Manuf. 57, 92–102 (2019)

    Article  Google Scholar 

  4. Amadeo, M., et al.: Information-centric networking for the internet of things: challenges and opportunities. IEEE Network 30(2), 92–100 (2016)

    Article  Google Scholar 

  5. Zhao, X., Liu, L., Wang, H., Song, W.: Ontology construction of the field of tourism in Africa. In: 2015 8th International Symposium on Computational Intelligence and Design (ISCID), December 2015, vol. 1, pp. 47–50. IEEE (2015)

    Google Scholar 

  6. Chang, V., Wills, G.: A model to compare cloud and non-cloud storage of Big Data. Future Gener. Comput. Syst. 57, 56–76 (2016)

    Article  Google Scholar 

  7. Tang, B., et al.: Incorporating intelligence in fog computing for big data analysis in smart cities. IEEE Trans. Industr. Inf. 13(5), 2140–2150 (2017)

    Article  Google Scholar 

  8. Zuza, M., Pérez-Ilzarbe, I., Rivas, C., Rivas, A.: WCT tourism placemaking (poster). J. Transp. Health 7, S4–S5 (2017)

    Article  Google Scholar 

  9. Liao, K.C., et al.: An evaluation of coupling coordination between tourism and finance. Sustainability 10(7), 2320 (2018)

    Article  Google Scholar 

  10. Bujdosó, Z., et al.: Basis of heritagization and cultural tourism development. Procedia Soc. Behav. Sci. 188, 307–315 (2015)

    Article  Google Scholar 

  11. Brida, J.G., Lanzilotta, B., Pizzolon, F.: Dynamic relationship between tourism and economic growth in MERCOSUR countries: a nonlinear approach based on asymmetric time series models. Econ. Bull. 36(2), 879–894 (2016)

    Google Scholar 

  12. Muhtaseb, B.M., Daoud, H.E.: Tourism and economic growth in Jordan: Evidence from linear and nonlinear frameworks. Int. J. Econ. Financ. Issues 7(1), 214–223 (2017)

    Google Scholar 

  13. Sun, D.: Simulation analysis of peak period income estimation model in tourism scenic of minority areas. In: 2015 International Conference on Automation, Mechanical Control and Computational Engineering, April 2015. Atlantis Press (2015)

    Google Scholar 

Download references

Acknowledgements

The research work was supported by Foundation of University of Science and Technology of Guangdong.

Author information

Authors and Affiliations

  1. School of Computer Science, Guangdong University of Science and Technology, Dongguan, 523083, Guangdong, People’s Republic of China

    Ding Li & Kangshun Li

  2. School of Mathematics and Informatics, South China Agricultural University, Guangzhou, 510642, China

    Ding Li & Kangshun Li

Authors
  1. Ding Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Kangshun Li
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Kangshun Li .

Editor information

Editors and Affiliations

  1. South China Agricultural University, Guangzhou, China

    Kangshun Li

  2. Jiangxi University of Science and Technology, Ganzhou, China

    Wei Li

  3. South China Agricultural University, Guangzhou, China

    Hui Wang

  4. The University of Aizu, Aizu-Wakamatsu, Fukushima, Japan

    Yong Liu

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Li, D., Li, K. (2020). Research on Big Data System Based on Cultural Tourism in Dongguan. In: Li, K., Li, W., Wang, H., Liu, Y. (eds) Artificial Intelligence Algorithms and Applications. ISICA 2019. Communications in Computer and Information Science, vol 1205. Springer, Singapore. https://doi.org/10.1007/978-981-15-5577-0_24

Download citation

  • DOI: https://doi.org/10.1007/978-981-15-5577-0_24

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-5576-3

  • Online ISBN: 978-981-15-5577-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation