With the development of network technology, the users looking for information may send a request to various selected databases and then inspect multiple result lists. To overcome such multiple inspections, the database merging strategy involves the merging of the retrieval results produced by separate, autonomous servers into an effective, single ranked list. To achieve this merging, this study is concerned with a particular situation within which only the rank of the retrieved records is available as a key to combine different result lists. Based on this rather limited information, this paper describes the theoretical foundation and retrieval performance of our database merging approach based on the logistic regression.

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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.

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