Abstract
In recently, the smart tourism applications are raising the scale of data to an unprecedented level. A new emerging trend in social media namely to collect and introduce cultural heritage by geotagged resources were being focused on. The paper aims to deliver a way to collect geotagged cultural heritage resources from social networking services by using the keyword and user’s position (GPS signal) to deliver smart interactions between visitors in a smart tourism environments. A large number of the cultural heritage information repositories are explored by using the user’s geo-location. Therefore, from determining a user’s position and context, the data that are related to cultural heritages nearby that location is collected such as photos, tags, comments. In the next step, the system is implemented for classifying and filtering the collected data belongs to users interest (e.g., the ancient capital, citadel, dynasty, tomb); determining the representative photo and important tags of each place; recommending the famous places based on photo distribution and users criteria to tourists. The experimental results show the map based on criteria given by users that contained useful information to visit some cultural heritages mentioned.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
A city of the central in Vietnam.
- 2.
References
Nguyen, T.T., Hwang, D., Jung, J.J.: Social tagging analytics for processing unlabeled resources: a case study on non-geotagged photos. In: Proceedings of the 8th International Symposium on Intelligent Distributed Computing VIII, IDC 2014, Madrid, Spain, 3–5 September 2014, pp. 357–367 (2014)
Nguyen, T.T., Nguyen, H.L., Hwang, D., Jung, J.J.: Pagerank-based approach on ranking social events: a case study with flickr. In: 2015 2nd National Foundation for Science and Technology Development Conference on Information and Computer Science (NICS), pp. 147–152. IEEE (2015)
Pham, X.H., Nguyen, T.T., Jung, J.J., Hwang, D.: Extending HITS algorithm for- ranking locations by using geotagged resources. In: Proceedings of 6th International Conference on Computational Collective Intelligence. Technologies and Applications, ICCCI 2014, Seoul, Korea, 24–26 September 2014, pp. 332–341 (2014)
Constantinidis, D.: Crowdsourcing culture: challenges to change. In: Borowiecki, K.J., Forbes, N., Fresa, A. (eds.) Cultural Heritage in a Changing World, pp. 215–234. Springer, Cham (2016). doi:10.1007/978-3-319-29544-2_13
Gretzel, U., Sigala, M., Xiang, Z., Koo, C.: Smart tourism: foundations and developments. Electron. Markets 25(3), 179–188 (2015)
Tenerelli, P., Demšar, U., Luque, S.: Crowdsourcing indicators for cultural ecosystem services: a geographically weighted approach for mountain landscapes. Ecol. Ind. 64, 237–248 (2016)
Chianese, A., Piccialli, F.: A smart system to manage the context evolution in the cultural heritage domain. Comput. Electr. Eng. 55, 24–26 (2016)
Cacho, A., et al.: Social smart destination: a platform to analyze user generated content in smart tourism destinations. In: Rocha, Á., Correia, A., Adeli, H., Reis, L., Mendonça Teixeira, M. (eds.) New Advances in Information Systems and Technologies. Advances in Intelligent Systems and Computing, vol. 444, pp. 817–826. Springer, Cham (2016)
Park, J.H., Lee, C., Yoo, C., Nam, Y.: An analysis of the utilization of facebook by local Korean governments for tourism development and the network of smart tourism ecosystem. Int. J. Inf. Manage. 36(6), 1320–1327 (2016)
Yuan, H., Xu, H., Qian, Y., Li, Y.: Make your travel smarter: summarizing urban tourism information from massive blog data. Int. J. Inf. Manage. 36(6), 1306–1319 (2016)
Etaati, L., Sundaram, D.: Adaptive tourist recommendation system: conceptual frameworks and implementations. Vietnam J. Comput. Sci. 2(2), 95–107 (2015)
Glen, V.B.: Heavenly Mathematics: The Forgotten Art of Spherical Trigonometry. Princeton University Press, Princeton (2013)
Nguyen, T.T., Jung, J.J.: Exploiting geotagged resources to spatial ranking by extending HITS algorithm. Comput. Sci. Inf. Syst. 12(1), 185–201 (2015)
Acknowledgment
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (NRF-2014R1A2A2A05007154). Also, this work was supported by the BK21 + program of the National Research Foundation (NRF) of Korea.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Nguyen, T.T., Hwang, D., Jung, J.J. (2017). Using Geotagged Resources on Social Media for Cultural Tourism: A Case Study on Cultural Heritage Tourism. In: Jung, J., Kim, P. (eds) Big Data Technologies and Applications. BDTA 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 194. Springer, Cham. https://doi.org/10.1007/978-3-319-58967-1_8
Download citation
DOI: https://doi.org/10.1007/978-3-319-58967-1_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-58966-4
Online ISBN: 978-3-319-58967-1
eBook Packages: Computer ScienceComputer Science (R0)