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.
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Notes
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A city of the central in Vietnam.
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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.
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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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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
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DOI: https://doi.org/10.1007/978-3-319-58967-1_8
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