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@INPROCEEDINGS{,
        author = {Liu, Zhan and Maria, Sokhn and Glassey Balet, Nicole and Cretton, Fabian},
      keywords = {big data, Chinese tourists, digital Social media, Linked Data, media, Switzerland, tourism},
         month = sep,
         title = {The impact of digital social media on tourism: a Case Study of experiences of Chinese visitors in Switzerland},
     booktitle = {R{\'{e}}-invention des territoires touristiques: entre attentes des consommateurs, adaptation de l’offre et nouvelles formes de r{\'{e}}sidentialit{\'{e}}},
          year = {2018},
      location = {Sion, Switzerland},
  organization = {Universit{\'{e}} de Lausanne (UNIL)},
      abstract = {Decision making in the tourism domain often involves complex and dynamic situations. On one hand, the tourism related data sets often from various sources and difficult to compare. To overcome such situations, semantic web, and more recently linked data technologies have been developed to support the intelligent integration of tourism data. As a term to connect related data on the web, linked data is an important factor for improving the quality of natural language processing (NLP), such as user’s interpretation from digital social network platforms. However, to date no significant amount of related studies have been published in the tourism domain.}
}