• Proceedings of the Korean Society of Computer Information Conference
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• 2020.01a
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• pp.135-138
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• 2020

본 연구에서는 사용자의 시간·공간적 정보를 사용한 맞춤형 문화관광 시스템을 제안한다. 이 시스템은 사용자의 시스템 접근 위치와 시간을 사용하여 사용자와 가까운 문화관광지와 참여가능한 축제와 활동을 선별한다. 또한 이 시스템은 사용자의 요구에 따라 전체적인 활동을 보여줌에 있어서 OpenAPI에서 데이터를 가져와서 Chart와 Grid layout를 통해 시각적으로 이해하기 쉽게 하고, Index을 통해 정보를 분류하여 파악할 수 있게 한다. 본 연구는 정형화된 문화관광 시스템보다 다양한 형태의 문화관광이 이루어질 수 있는 시스템을 개발하였다.

• Smart Media Journal
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• v.5 no.1
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• pp.122-129
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• 2016

In recent years, the Augmented Reality Technology is improving in order to support the user-oriented interaction depending on growing trend in smart phones. In this paper, we present the Realistic Experience App. Contents which help the smart phone users experience the real situations by using the Object Recognition Technology of the tourist attractions and the users' location information. The developed system pinpoints both the location of the user and that of the tourist spot object through the GPS of the smart phone and the information of Beacon, providing the realistic experience contents about the tourist attraction after estimating the distance and the direction between the user and the place. The Realistic Experience App. Contents are expected not only to impress the culture of Jeju on the tourists but also to increase the potential to uncover the unknown tourist attractions and improve the image of Jeju as one of the best sightseeing cities.

• Information Systems Review
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• v.21 no.2
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• pp.1-27
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• 2019

It is possible to provide Smart Tourism Service through the development of information technology. It is necessary for the tourism industry to understand and utilize Big Data that has tourists' consumption patterns and service usage patterns in order to continuously create a new business model by converging with other industries. This study suggests to activate Jeju Smart Tourism by analyzing Big Data based on credit card usage records and location of tourists in Jeju. The results of the study show that First, the percentage of Chinese tourists visiting Jeju has decreased because of the effect of THAAD. Second, Consumption pattern of Chinese tourists is mostly occurring in the northern areas where airports and duty-free shops are located, while one in other regions is very low. The regional economy of Jeju City and Seogwipo City shows a overall stagnation, without changes in policy, existing consumption trends and growth rates will continue in line with regional characteristics. Third, we need a policy that young people flow into by building Jeju Multi-complex Mall where they can eat, drink, and go shopping at once because the number of young tourists and the price they spend are increasing. Furthermore, it is necessary to provide services for life-support related to weather, shopping, traffic, and facilities etc. through analyzing Wi-Fi usage location. Based on the results, we suggests the marketing strategies and public policies for understanding Jeju tourists' patterns and stimulating Jeju tourism industry.

• Smart Media Journal
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• v.12 no.8
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• pp.18-25
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• 2023

The COVID-19 outbreak in 2020 caused continuous damage worldwode, especially the smart tourism industry was hit directly by the blockade of sky roads and restriction of going out. At a time when overseas travel and domestic travel have decreased significantly, the number of tourist hotels that are colsed and closed due to the continued deficit is increasing. Therefore, in this study, licensing data from the Ministry of Public Administraion and Security were collected and visualized to understand the operation status of the tourism and lodging industry. The machine learning classification algorithm was applied to implement the business status prediction model of the tourist hotel, the performance of the prediction model was optimized using the ensemble algorithm, and the performance of the model was evaluated through 5-Fold cross-validation. It was predicted that the survival rate of tourist hotels would decrease somewhat, but the actual survival rate was analyzed to be no different from before COVID-19. Through the prediction of the business status of the hotel industry in this paper, it can be used as a basis for grasping the operability and development trends of the entire tourism and lodging industry.

• Journal of Agricultural Extension & Community Development
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• v.19 no.4
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• pp.833-857
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• 2012

This study was carried out aiming to provide information and enhance the satisfaction of real-time smartphones users on Rural Amenity Resources Information Services. For this purpose, domestic and international discussions and surveys on technology developments and expert analysis smartphone technology were reviewed. And empirical data were collected from 600 people through structured questionnaires including smart-phone experience, smartphone usage behavior, the required content, service items, service quality, Through this information, the content of rural amenity resources, how to take advantage of smart phones. Service Plan and developed, and a rural village locations to target mobile phone technology, the content was established. Through the preference analysis of the collected data, we designed the contents of rural amenity resources information based on smart-phone. It will be helpful to enhance the interchange between urban and rural such as farmer's market and rural tourism.

• Journal of Korea Multimedia Society
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• v.15 no.5
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• pp.677-691
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• 2012

Location Based Services using GPS receiver with network enabled smart phone provides various services and many business models. Currently, many context awareness models on smart phone applications are under developing. But most of the services are based on current user position and Point of Interest(POI)s, which are very static. In this paper, we proposed and implemented multimedia tourist guide system using smart phone, which are very dynamic and provides tour guide's voice and audio service on the spot. Also we provides tour experience sharing method which can easily share the videos and pictures for each users.

• The Journal of Information Technology
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• v.5 no.1
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• pp.143-156
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• 2002

Tourist Information Center has been played an important part of role in the promotion of tourism for both inbound and domestic market. The purpose of this paper is to examine the situation of our tourist information centers in context with information and personnel service. As a result we suggested some findings. According to studies, tourism information provided by TIC is critical and decisive for specific travel type and leisure travelers visit TIC more often than the other types of travelers. The specific aspects of tourism information is accuracy and currency which based on the characteristics of intangibility and perishability. According to this encouragement tourism information system should have to shifted to internet basis. This movement enabled tourism industry to make the atmosphere for portal or hub site for the effective operation of this system. The regionally networked system can make it possible to cope with some characteristics of tourism products. Reservations and information retrievals are major function of portal site. The data from suppliers (hotels, restaurants, event organizers, transportation, attractions etc) must be up-dated, controled by regional TIC and the connections should be extended among the regional TICs.

• 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.

• Digital Contents
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• no.7 s.134
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• pp.116-117
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• 2004

• Management & Information Systems Review
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• v.36 no.4
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• pp.129-148
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• 2017

Conventional exhibition management information systems recommend tourist attractions that are close to the place in which an exhibition is held. Some recommended attractions by the location-based recommendation could be meaningless when nothing is related to the exhibition's topic. Our goal is to recommend attractions that are related to the content presented in the exhibition, which can be coined as content-based recommendation. Even though human exhibition curators can do this, the quality is limited to their manual task and knowledge. We propose an automatic way of discovering attractions relevant to an exhibition of interests. Language resources are incorporated to discover attractions that are more meaningful. Because a typical single machine is unable to deal with such large-scale language resources efficiently, we implemented the algorithm on top of Apache Spark, which is a well-known distributed computing framework. As a user interface prototype, a web-based system is implemented that provides users with a list of relevant attractions when users are browsing exhibition information, available at http://bike.snu.ac.kr/WARP. We carried out a case study based on Korean Tourism Organization Linked Open Data with Korean Wikipedia as a language resource. Experimental results are demonstrated to show the efficiency and effectiveness of the proposed system. The effectiveness was evaluated against well-known exhibitions. It is expected that the proposed approach will contribute to the development of both exhibition and tourist industries by motivating exhibition visitors to become active tourists.