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has been cited by the following article:

• 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.