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Identifying and ranking cultural heritage resources on geotagged social media for smart cultural tourism services

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Abstract

With a large amount of data (e.g., ratings and feedbacks) obtained from social media (e.g., TripAdvisor), smart tourism applications and services have been studied to understand the contexts of users. More particularly, in this work, we have been focusing on “cultural tourism” service by automatically identifying and ranking cultural things (e.g., historical places). The main aims of this research are (1) to identify useful cultural heritage resources from geotagged social media (more precisely, spatial folksonomy), and (2) to rank them, with respect to the user context (e.g., location). Thus, the smart cultural tourism service can deliver smart interactions between the visitors of smart tourism environments by collecting and analyzing geotagged multimedia data (e.g., photos, tags, and comments) from available social media. In order to evaluate the proposed service, the system has been implemented with the real-world datasets related to cultural heritage sites (e.g., Hue, Hoi An, My Son in Vietnam, and Gyeongbokgung, Changdeokgung, Gyeongju in Korea).

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Notes

  1. A city in central of Vietnam.

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Acknowledgements

This research was supported by the Chung-Ang University Research Grants in 2015.

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Authors and Affiliations

  1. Department of Computer Science, Hue University of Education, Hue, Vietnam

    Tuong Tri Nguyen

  2. Computer Science Department, Universidad Autónoma de Madrid, Madrid, Spain

    David Camacho

  3. Department of Computer Engineering, Chung-Ang University, Seoul, 156-756, Korea

    Jai E. Jung

Authors
  1. Tuong Tri Nguyen
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  2. David Camacho
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  3. Jai E. Jung
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Corresponding authors

Correspondence to David Camacho or Jai E. Jung.

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Nguyen, T.T., Camacho, D. & Jung, J.E. Identifying and ranking cultural heritage resources on geotagged social media for smart cultural tourism services. Pers Ubiquit Comput 21, 267–279 (2017). https://doi.org/10.1007/s00779-016-0992-y

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