International Journal of Internet, Broadcasting and Communication

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
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React Native and Android Mobile Apps for Smart Tourism Information Service to FITs

  • Cho, Hyun-Ji (Department of Telecommunication Eng., Jeju National University) ;
  • Lee, Jin-Yi (Department of Telecommunication Eng., Jeju National University) ;
  • Park, Tae-Rang (Department of Telecommunication Eng., Jeju National University) ;
  • Jwa, Jeong-Woo (Department of Telecommunication Eng., Jeju National University)
  • Received : 2022.02.26
  • Accepted : 2022.03.06
  • Published : 2022.05.31
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Abstract

We develop a smart tourism information system that provides smart tourism services to free independent tourists (FITs) through various content distribution channels such as mobile apps, Instagram, YouTube, and chatbots. The smart tourism information system provides location and storytelling-based tourism information, accommodation, restaurant information, and recommended travel products so that tourists can create a travel itinerary based on personalized situation awareness. The smart tourism information system also provides smart tourism services using commercial maps, navigation, and weather forecast APIs from the Korea Meteorological Administration to provide smart tour guide services to tourists who travel according to the travel itinerary. In this paper, we develop the React Native app that provides smart tourism services provided by the smart tourism information system. The smart tourism React Native app has implemented two methods: a method that directly connects to the smart tourism information system, and a method that provides services by interworking through the GraphQL Query Language developed by META (Facebook). The smart tourism React Native app implements OSMU (One Source Multi-use) by providing tourism information from mobile apps, photos from Instagram, and drone videos from YouTube as an integrated UI.

Keywords

Acknowledgement

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No.2021R1A2C1093283).

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