Abstract
Recently, people in local community often address tourism planning through their collaboration. The process of the collaborative tourism planning consists of planners’ learning and consensus building. Without the knowledge of the tourism planning, it is difficult for the planners to begin the collaborative tourism planning. Nowadays, the practical case reports of tourism planning are available online and include useful knowledge for tourism planning. So, we propose the support system for the collaborative tourism planning by using the case reports that are collected via Internet. Typical support systems support users’ retrieving the case reports based on the keywords that are inputted by the users. However, to input the keywords is hard for planners who are not familiar with tourism. Therefore, the proposed system extracts several topics together with keywords of the topics, which enables the planners to find appropriate case reports.
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This work was supported by JSPS KAKENHI Grant Number 25730205.
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Samejima, M. (2015). Topic Analysis of Case Reports in Tourism Towards Collaborative Tourism Planning Support. In: Matsuo, T., Hashimoto, K., Iwamoto, H. (eds) Tourism Informatics. Intelligent Systems Reference Library, vol 90. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47227-9_1
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DOI: https://doi.org/10.1007/978-3-662-47227-9_1
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