• Proceedings of the KSR Conference
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• 2002.05a
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• pp.41-46
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• 2002

This paper deals with the exchange of tourists and the operation of sightseeing train encouraged by the inter- Korean cross-border railway project. First of all, how the inter-Korean cross-border railway project has developed will be discussed. After this, tile present tourism state, facilities, the state of railways and roads of North Korea, and major tourist attraction around the Kyonguisun will be shown. And then, several aspects on the agreements between the Korean National Railroad (KORAIL) and North Korean railroad system will be summarized. And, finally, the economic effect of the line including the operation schedule of the Kyonguisun sightseeing train, the demand forecast, the computation of railway fare, and profit sharing will be depicted.

• Journal of the Korean Society of Costume
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• v.40
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• pp.67-80
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• 1998

Being located in the east of the Mediterranean Sea, Cyprus used to play a bridge role of cultural exchanges between the East and the West during period of being occupied. As a consequence the fact that the style of costume might be changed at certain levels during the time is broadly accepted. Basic structure of Cypriot men's clothes during the late of the 19th century to the middle of 20th century is composed of\circled1 baggy trousers(vraka) \circled2 shirt(chemise) \circled3 jacket(ziboune/zibouna) \circled4 waistcoat(yilekko) \circled5 headdress(fez, kourouklin) \circled6 accessories. General composition of women's wear is \circled1 pantaloons(vrandzin) \circled2 shift(poukamiso) \circled3 outer garment(sayia, foustani, Amalia, costume) \circled4 waist kerchief(mandili tis koxas)\circled5 boots(podines)/pumps(goves) \circled6 scarves and accessories. As reviewed above, although men's clothes are still worn on a day to day basis, women's wear continues to exist only for festivals or as a tourist attraction. It was understood that this was an accepted consequence of 20th century modernization and reformation.

• Journal of Applied Tourism Food and Beverage Management and Research
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• v.12 no.2
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• pp.43-58
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• 2001

This study focuses on analyzing the present conditions of homestay in Donghae, which helps to increase the fishing and agrarian villages' income and offer a low-priced lodging facility to tourists. Furthmore it tries to find the related problems and to suggest the solutions. For this purpose, homestsy businesses in Donghae city was surveyed by the questionnaire. Frequency analysis and Cross table analysis of the collected 97 questionnaries were conducted by the SPSS, and the related problems were found as follows. After homestay business turned to the liberal business, professional homestay businessmen appeared and conflicts between farmer and professional businessman came out. And there's a limitation on providing subsidiary facilities and services for the local businesses because of their financial difficulty and on-off season. Therefore to develop “fishing and agrarian villages' homestay businesses” well-defined standards of homestay is required. Then to provide subsidiary facility, services and special programs activation of homestay association is necessary. Finally, to attract tourists, local government's tourist attraction policy is needed.

• The Journal of Fisheries Business Administration
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• v.38 no.3
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• pp.53-65
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• 2007

This study was to analyze amenity of the port landscapes for North port, South port, and Gamcheon port in Busan. Amenity related variables came from Semantic Differential(SD) method and then were conducted by the factor analysis. Multiple regression was done for the relationship between the amenity and factors. The result found 3 factors, including dynamics, stability, and familarity. Much importance was placed on dynamics among them. Therefore, building port landscapes and their image attracting tourists should consider dynamics in terms of port landscape plan and tourist attraction development for amenity quality management.

• Asia-Pacific Journal of Business
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• v.10 no.4
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• pp.167-180
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• 2019

The purpose of this paper is to explore Laos mysterious 'Plain of Jars' area in a village. 'The Plain of Jars' site has been proposed for listing as a UNESCO World Heritage Monument. The study used convenience sampling and surveyed tourists who visited Tonghahin in Xieng Khouang. The results of this study are summarized as follows: First, Tonghahin is introduction stage from the tourism life cycle due to lack of basic infrastructure such as road condition, transportation, information service, etc,. Second, this study examined the ways to improve methods such as adminstration system and hospitality service manual for tourist site. Thereafter, third, to develop each attraction, they have come with better tourism products. These things are foresight-able to-do list for nomination as the UNESCO World Heritage. The recommendations and suggestions for future research are also discussed.

• Journal of Intelligence and Information Systems
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• v.24 no.2
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• pp.149-169
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• 2018

Korea is currently accumulating a large amount of data in public institutions based on the public data open policy and the "Government 3.0". Especially, a lot of data is accumulated in the tourism field. However, the academic discussions utilizing the tourism data are still limited. Moreover, the openness of the data of restaurants, hotels, and online tourism information, and how to use SNS Big Data in tourism are still limited. Therefore, utilization through tourism big data analysis is still low. In this paper, we tried to analyze influencing factors on foreign tourists' satisfaction in Korea through numerical data using data mining technique and R programming technique. In this study, we tried to find ways to revitalize the tourism industry by analyzing about 36,000 big data of the "Survey on the actual situation of foreign tourists from 2013 to 2015" surveyed by the Korea Culture & Tourism Research Institute. To do this, we analyzed the factors that have high influence on the 'Satisfaction', 'Revisit intention', and 'Recommendation' variables of foreign tourists. Furthermore, we analyzed the practical influences of the variables that are mentioned above. As a procedure of this study, we first integrated survey data of foreign tourists conducted by Korea Culture & Tourism Research Institute, which is stored in the tourist information system from 2013 to 2015, and eliminate unnecessary variables that are inconsistent with the research purpose among the integrated data. Some variables were modified to improve the accuracy of the analysis. And we analyzed the factors affecting the dependent variables by using data-mining methods: decision tree(C5.0, CART, CHAID, QUEST), artificial neural network, and logistic regression analysis of SPSS IBM Modeler 16.0. The seven variables that have the greatest effect on each dependent variable were derived. As a result of data analysis, it was found that seven major variables influencing 'overall satisfaction' were sightseeing spot attraction, food satisfaction, accommodation satisfaction, traffic satisfaction, guide service satisfaction, number of visiting places, and country. Variables that had a great influence appeared food satisfaction and sightseeing spot attraction. The seven variables that had the greatest influence on 'revisit intention' were the country, travel motivation, activity, food satisfaction, best activity, guide service satisfaction and sightseeing spot attraction. The most influential variables were food satisfaction and travel motivation for Korean style. Lastly, the seven variables that have the greatest influence on the 'recommendation intention' were the country, sightseeing spot attraction, number of visiting places, food satisfaction, activity, tour guide service satisfaction and cost. And then the variables that had the greatest influence were the country, sightseeing spot attraction, and food satisfaction. In addition, in order to grasp the influence of each independent variables more deeply, we used R programming to identify the influence of independent variables. As a result, it was found that the food satisfaction and sightseeing spot attraction were higher than other variables in overall satisfaction and had a greater effect than other influential variables. Revisit intention had a higher ${\beta}$ value in the travel motive as the purpose of Korean Wave than other variables. It will be necessary to have a policy that will lead to a substantial revisit of tourists by enhancing tourist attractions for the purpose of Korean Wave. Lastly, the recommendation had the same result of satisfaction as the sightseeing spot attraction and food satisfaction have higher ${\beta}$ value than other variables. From this analysis, we found that 'food satisfaction' and 'sightseeing spot attraction' variables were the common factors to influence three dependent variables that are mentioned above('Overall satisfaction', 'Revisit intention' and 'Recommendation'), and that those factors affected the satisfaction of travel in Korea significantly. The purpose of this study is to examine how to activate foreign tourists in Korea through big data analysis. It is expected to be used as basic data for analyzing tourism data and establishing effective tourism policy. It is expected to be used as a material to establish an activation plan that can contribute to tourism development in Korea in the future.

• The Journal of Information Systems
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• v.28 no.4
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• pp.271-291
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• 2019

Purpose The purpose of this study is to propose a methodology to derive positive keywords and negative keywords through deep learning to classify reviews into positive reviews and negative ones, and then refine the results of topic modeling using these keywords. Design/methodology/approach In this study, we extracted topic keywords by performing LDA-based topic modeling. At the same time, we performed attention-based deep learning to identify positive and negative keywords. Finally, we refined the topic keywords using these keywords as filters. Findings We collected and analyzed about 6,000 English reviews of Gyeongbokgung, a representative tourist attraction in Korea, from Tripadvisor, a representative travel site. Experimental results show that the proposed methodology properly identifies positive and negative keywords describing major topics.

• Journal of Korean Society of Rural Planning
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• v.12 no.4 s.33
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• pp.53-61
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• 2006

Rural amenity resources consist of natural, cultural and social resources. Some of resources have been surveyed in other institutes and organizations and information system about these resources has been constructed. Integrating with information of existing system or database is helpful to produce useful rural amenity resources information to users. This integration of distributed information is based on semantic integration. In this paper, we used ontology for semantic integration and introduced the method of external information integration using ontology. We designed ontology table to represent ontology in database and integrated distributed information using ontology. To examine the improvement of information service efficiency and the applicability, rural amenity resources information and tourist attraction information database were constructed and integrated. Also, the information service efficiency with information integration was evaluated using recall ratio and compared to the information service efficiency without information integration.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06c
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• pp.134-136
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• 2012

u-City 환경에서 사용자 맞춤형 국토정보를 제공하기 위해 대용량의 데이터를 효과적으로 분석할 수 있는 데이터마이닝 기법이 적용되고 있다. 따라서 이 논문에서는 데이터마이닝 기법 중 연관분류기법을 적용하여 사용자 맞춤형 관광명소 추천 시스템을 개발하였다. 특히, CPFP-tree를 이용하여 빈발항목집합 탐사에 대한 시간을 단축하였으며, 연관분류를 통해 보다 높은 정확도로 결과를 예측 및 분류할 수 있게 하였다. 제시한 시스템은 공간정보에 대해 사용자 맞춤 서비스를 제공할 수 있음을 보였으며, 다양한 시나리오 적용을 통해 맞춤형 국토정보화 기술의 기반이 될 수 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1767-1769
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• 2012

최근 여가활동에 대한 관심이 증대되고 있으며, 모바일 인프라가 널리 보급되었다. 하지만 공유되는 정보의 양이 급속하게 증가함에 따라 원하는 정보를 정확하게 얻는 것은 쉽지 않다. 본 논문은 한국관광공사의 Open API를 이용하여 보다 객관적이고 정확한 관광 명소의 정보를 안드로이드 폰에서 볼 수 있도록 제공하고, 더불어 사용자의 취향에 알맞은 관광 명소를 추천해주는 시스템을 소개한다.