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Linked Data Based Framework for Tourism Decision Support System: Case Study of Chinese Tourists in Switzerland
Art der Publikation: Artikel
Zitat:
Zeitschrift: Journal of Computer and Communications
Band: 3
Nummer: 5
Jahr: 2015
Monat: Mai
Seiten: 118-126
ISSN: 2327-5227
URL: http://www.scirp.org/Journal/P...
DOI: 10.4236/jcc.2015.35015
Abriss: 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 communica-tions 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 an 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.
Schlagworte: Behaviors Analysis, Chinese Tourist, Decision Support System, Linked Data, Natural Language Processing, New Trends, semantic web, Sina Weibo, Social Networks, Switzerland
Autoren Liu, Zhan
Le Calvé, Anne
Cretton, Fabian
Glassey Balet, Nicole
Maria, Sokhn
Délétroz, Nicolas
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