• Journal of Digital Convergence
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• v.11 no.7
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• pp.51-57
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• 2013

The purpose of this paper is to find the priority of tourist destination remodeling among tourists, residents, sellers for Incheon's Chinatown. Our questionnaire is included satisfaction of convenience, accommodation and cultural facility and development direction of Incheon's Chinatown for all stakeholder. We also surveyed building control, satisfaction of implemented public service, demand of facility both resident and seller, except for tourist. The results represent each of stakeholder is different opinion about remodeling of Incheon's Chinatown. The tourist importantly considered tourism development. The resident and seller importantly considered historical, cultural development. However, all stakeholder commonly regarded convenience and cultural facility as priority for developing chinatown.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.9
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• pp.451-464
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• 2016

Nowadays, entity search such as Google Product Search and Yahoo Pipes has been in the spotlight. The entity search engines have been used to retrieve web pages relevant with a particular entity. However, if an entity (e.g., Chinatown movie) has various meanings (e.g., Chinatown movies, Chinatown restaurants, and Incheon Chinatown), then the accuracy of the search result will be decreased significantly. To address this problem, in this article, we propose a novel method that quantifies the importance of search queries and then offers the best query for the entity search, based on Frequent Pattern (FP)-Tree, considering the correlation between the entity relevance and the frequency of web pages. According to the experimental results presented in this paper, the proposed method (59% in the average precision) improved the accuracy five times, compared to the traditional query terms (less than 10% in the average precision).