Big Data Technologies and Applications. 7th International Conference, BDTA 2016, Seoul, South Korea, November 17–18, 2016, Proceedings

Research Article

Using Geotagged Resources on Social Media for Cultural Tourism: A Case Study on Cultural Heritage Tourism

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  • @INPROCEEDINGS{10.1007/978-3-319-58967-1_8,
        author={Tuong Nguyen and Dosam Hwang and Jason Jung},
        title={Using Geotagged Resources on Social Media for Cultural Tourism: A Case Study on Cultural Heritage Tourism},
        proceedings={Big Data Technologies and Applications. 7th International Conference, BDTA  2016, Seoul, South Korea, November 17--18, 2016, Proceedings},
        proceedings_a={BDTA},
        year={2017},
        month={6},
        keywords={Smart cultural tourism Cultural heritage Social media data Geotags resources},
        doi={10.1007/978-3-319-58967-1_8}
    }
    
  • Tuong Nguyen
    Dosam Hwang
    Jason Jung
    Year: 2017
    Using Geotagged Resources on Social Media for Cultural Tourism: A Case Study on Cultural Heritage Tourism
    BDTA
    Springer
    DOI: 10.1007/978-3-319-58967-1_8
Tuong Nguyen1,*, Dosam Hwang2,*, Jason Jung3,*
  • 1: Hue University of Education
  • 2: Yeungnam University
  • 3: Chung-Ang University
*Contact email: tuongtringuyen@gmail.com, dosamhwang@gmail.com, j2jung@gmail.com

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.