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SWICICO - Social Media Analysis Based on Linked Data for New Trends of Chinese Tourists in Switzerland

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In recent years, Sina Weibo, a Twitter-like social network service in China, has attracted attention from scholars in the domain of information systems, as the spread and influence of users' opinions are increasingly important. This study examined the tourist behaviors and consumer patterns of Chinese travelers in Switzerland by adopting a linked data approach for a large-scale semantic analysis. A total of 103,778 Weibo messages shared with Swiss locations were collected between January 2013 and April 2015. We addressed questions about Chinese travelers' profiles, trends in keywords, and differences between first time and multiple visitors. We also conducted a semantic search engine by employing linked data technologies to processed users’ interpretations in the form of unstructured text, which can help ensure that vocabularies of natural language expressions are mapped correctly to the existing ontology.

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SWICICO - Social Media Analysis Based on Linked Data for New Trends of Chinese Tourists in Switzerland

  1. 1. SWICICO: Social Media Analysis Based on Linked Data for New Trends of Chinese Tourists in Switzerland Zhan Liu, Nicole Glassey Balet, Fabian Cretton, Maria Sokhn, Anne Le Calvé University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis), Sierre, Switzerland Introduction and Background Who are these tourists and where do they travel in Switzerland? The real name registration applies to Weibo, it is possible to identify these tourists’ characteristics, such as gender, age, etc. What are their interests towards Swiss tourism? This would provide valuable insights in determining Chinese consumption patterns in Switzerland. What are the new trends among Chinese tourists in Switzerland? For example, what are their travel habits in Switzerland, and what are their impacts on tourism destinations? Research Questions Methods Demographics Methodologies Key Findings Conclusion and Implications Filled an important gap in the literature on Chinese consumers’ behaviors in Switzerland based on social media platforms by using Linked Data technologies. Classified and analyzed massive datasets from Sina Weibo, advanced visualization and semantic search features facilitated the discovery of interesting places and activities in Switzerland. Provided a simple way to help Swiss tourism agencies obtain valuable insights into tourism marketing strategies, especially to communicate with individual tourists. zhan.liu@hevs.ch Data Semantics Lab For More Information

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