TITLE:
Linked Data Based Framework for Tourism Decision Support System: Case Study of Chinese Tourists in Switzerland
AUTHORS:
Zhan Liu, Anne Le Calvé, Fabian Cretton, Nicole Glassey Balet, Maria Sokhn, Nicolas Délétroz
KEYWORDS:
Linked Data, Semantic Web, Decision Support System, Natural Language Processing, Behaviors Analysis, Social Networks, Chinese Tourist, Switzerland, New Trends, Sina Weibo
JOURNAL NAME:
Journal of Computer and Communications,
Vol.3 No.5,
May
25,
2015
ABSTRACT: Switzerland is one of the most
desirable European destinations for Chinese tourists; therefore, a better
understanding of Chinese tourists is essential for successful business
practices. In China, the largest and leading social media platform—Sina Weibo,
a hybrid of Twitter and Facebook—has more than 600 million users. Weibo’s great
market penetration suggests that tourism operators and markets need to
understand how to build effective and sustainable communications on Chinese
social media platforms. In order to offer a better decision support platform to
tourism destination managers as well as Chinese tourists, we proposed a
framework using linked data on Sina Weibo. Linked Data is a term referring to
using the Internet to connect related data. We will show how it can be used and
how ontology can be designed to include the users’ context (e.g., GPS locations).
Our framework will provide a good theoretical foundation for further understand
Chinese tourists’ expectation, experiences, behaviors and new trends in
Switzerland.