Web browsing is become one of the methods to gather tourism information. Also, Web 2.0 has led to the development of a
variey of social media website characterized by the use of user-generated content. In Japan, many local governments have
foreign language web pages with tourism-related information. However, many of those website do not have interactive
system with tourists who need information. There are thousands of foreigners currently in the country producing
information about Japan tour in native language. Tourism website is required to look for good ways to incorporate material
already written in native language. A recent survey found that consumers trusted more websites with reviews than
professional guides and travel agencies and far from being an irrelevance, blogs are often perceived to be more credible
and trustworthy than traditional marketing communications. But there is a problem: given the sheer number of possibly
relevant travel blogs there is a need to locate, extract and interpret blog content and this has proven so far to be time
consuming, exhausting and costly, thus negating the relative value of the information obtained. It is necessary a empirical
strategy based on the research and analysis to build an effective information system in tourism. In this paper, we present
current issues of information system and services for travelers visiting Kyushu from South Korea. And we construct a
intergrated tourism information system, „OTakyu‟ for Korean tourists visiting Kyushu. It aims to develop a platform of
tourism information based on Web 2.0. For the application, this study proposes to use the metadata interface to collect and
classify much tourism information. This platform offer a varied and appropriate information already being produced by
local government, personal blog, and so on. We found that this application can promote the information sharing and
networking. And it can be beneficial for the public facilities suffering from the lack of budget and human resources to
provide sustainability information. In the future, we will improve the quality of the site, while organizing a wide variety of
data types from different sources and generating a more detailed categorization.
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