• 농촌계획
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• 제17권3호
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• pp.43-53
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• 2011

Today, seaside village has been met with much difficulty from aggravation of fishing conditions including decrease of fishery resources, marine products market opening, reduction of coastal fishing ground. Thus, seaside village tourism can become an useful alternative to revitalize the local community. This study deals with on the tourism activities based on motive of tourist to Seaside Villages in Jeju Island. And it will be find out though the cross analysis of tourism motivation factors and tourism activities factors. With 298 effective responses gathered from an on-site survey. The statistical analysis of the data was conducted using techniques of frequency analysis, factor analysis, cluster analysis, and canonical analysis. The tourism motivation and activities were conformed by Chi-Square Analysis and ANOVA analysis. For the growth of seaside village, many tourist must visit four seasons and tourism facilities and programs will be develop as seaside village experience activities, marine leisure activities, and circumference inquiry activities.

• International Journal of Internet, Broadcasting and Communication
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• 제14권2호
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• pp.55-62
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• 2022

A smart tourism chatbot is needed as a user interface to efficiently provide smart tourism services such as recommended travel products, tourist information, my travel itinerary, and tour guide service to tourists. We have been developed a smart tourism app and a smart tourism information system that provide smart tourism services to tourists. We also developed a smart tourism chatbot service consisting of khaiii morpheme analyzer, rule-based intention classification, and tourism information knowledge base using Neo4j graph database. In this paper, we develop the Korean and English smart tourism Name Entity (NE) datasets required for the development of the NER model using the pre-trained language models (PLMs) for the smart tourism chatbot system. We create the tourism information NER datasets by collecting source data through smart tourism app, visitJeju web of Jeju Tourism Organization (JTO), and web search, and preprocessing it using Korean and English tourism information Name Entity dictionaries. We perform training on the KoBERT-CRF NER model using the developed Korean and English tourism information NER datasets. The weight-averaged precision, recall, and f1 scores are 0.94, 0.92 and 0.94 on Korean and English tourism information NER datasets.

• International Journal of Advanced Culture Technology
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• 제10권1호
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• pp.310-316
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• 2022

The smart tourism service provides services such as travel planning and tour guides to tourists using key technologies of the 4th industrial revolution, such as the Internet of Things, communication infrastructure, big data, artificial intelligence, AR/VR, and drones. We are developing smart tourism services such as recommended travel products, my travel itinerary, tourism information, and chatbots for tourists through the smart tourism app. In this paper, we develop a smart tourism service system that provides real-time location-based tourism information and weather information to tourists. The smart tourism service system consists of a smart tourism app, a smart tourism information system, and an IoT data collection device. The smart tourism information system receives weather information from the IoT data collection device installed in the tourist destination. The location-based smart tourism service is provided as a smart tourism app in the smart tourism information system according to the Beacon's UUID in the IoT data collection device. The smart tourism information system stores the Beacon's UUIDs received from tourists and provides a safe hiking service for tourists.

• 한국지역지리학회지
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• 제14권4호
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• pp.382-393
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• 2008

지방자치제 실시 이후 관광산업은 지역 활성화를 위한 분야로서 인식되고 있다. 이러한 상황에서 관광산업 내 새로운 대안으로서 최근 관심을 모으고 있는 분야는 의료산업과 연계한 관광 개발이다. 본 연구는 제주지역의 의료관광을 전략산업으로 추진하기 위하여 국내 외 사례들을 조사하고, 제주 관광객을 대상으로 설문을 통해 의료관광에 대한 기초 조사 연구를 실시하였다. 또한 전문가의 의견 수집을 통해 가장 적합한 제주형 의료관광의 추진모델을 수립하였다.

• International Journal of Advanced Culture Technology
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• 제11권4호
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• pp.385-392
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• 2023

The smart tourism service provides tourists with personal travel planner services and context-awareness-based tour guide services. In this paper, we propose the personal travel planner service that creates my travel itinerary using the smart tourism app and the travel planner system. The smart tourism app provides recommended travel products and POI tourist information used to create my travel itinerary. The smart tourism app also provides the smart tourism chatbot service that allows users to select POI tourist information easily and conveniently. The travel planner system consists of the smart tourism information system and the smart tourism chatbot system. The smart tourism information system provides users with travel planner services, recommended travel products, and POI tourism information through the smart tourism app. The smart tourism chatbot system consists of named entity recognition (NER), dialogue state tracking (DST), and Neo4J servers, and provides chatbot services as a smart tourism app. Users can create their own travel itinerary, modify the travel itinerary while traveling, and then register it as a recommended travel product to users, including acquaintances.

• 한국산학기술학회논문지
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• 제22권3호
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• pp.579-586
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• 2021

본 연구는 다양한 빅데이터를 지역관광 정책에 활용한 제주특별자치도의 사례를 토대로, 관광빅데이터의 활용성과와 과제를 제시하였다. 가장 큰 활용성과는 관광빅데이터를 통해 급변하는 관광트랜드와 관광업계의 동향을 시의성있고 구체적으로 파악할 수 있게 되었고, 기존 관광통계를 정교화하는데 활용할 수 있었다는 점이다. 여기서 더 나아가 제주는 빅데이터의 활용 범위를 관광 현상 이해의 수준을 넘어 실시간 맞춤형 서비스 플랫폼 구축까지 영역을 확장하였다. 이것이 가능했던 이유는 데이터 수집 및 분석 환경 구축과 산·관·학의 협력적 거버넌스가 조성되었기 때문이다. 향후 해결해야 할 과제는 첫째, 민간 데이터셋 위주의 분석으로 예산 의존적이라는 한계와 둘째, 스마트관광의 궁극적 목표인 개인맞춤형서비스 구축을 위한 개인수준 데이터 수집 인프라, 개인정보보호법 등의 제도적인 문제의 해결이다. 마지막으로, 데이터 분석과 데이터 연계에 도달하기까지의 전문성과 기술적 한계들이 남아 있다.

• 유통과학연구
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• 제18권1호
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• pp.15-26
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• 2020

Purpose: This study is to analyze the image classification using Convolution Neural Network and Transfer Learning for Jeju Island and to suggest related implications. As the biggest tourist destination in Korea, Jeju Island encounters environmental issues frequently caused by marine debris along the seaside. The ever-increasing volume of plastic waste requires multidirectional management and protection. Research design, data and methodology: In this study, the deep learning CNN algorithm was used to train a number of images from Jeju clean and polluted beaches. In the process of validating and testing pre-processed images, we attempted to explore their applicability to coastal tourism applications through probabilities of classifying images and predicting clean shores. Results: We transformed and augmented 194 small image dataset into 3,880 image data. The results of the pre-trained test set were 85%, 70% and 86%, and then its accuracy has increased through the process. We finally obtained a rapid convergence of 97.73% and 100% (20/20) in the actual training and validation sets. Conclusions: The tested algorithms are expected to implement in applications for tourism service distribution aimed at reducing coastal waste or in CCTVs as a detector or indicator for residents and tourists to protect clean beaches on Jeju Island.

• Asia pacific journal of information systems
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• 제26권2호
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• pp.247-262
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• 2016

Almost all Koreans recognize the Dolhareubang as a representative symbol of Jeju. However, as the development of online technology progressed, the image and perception of the Dolhareubang is also expected to change. Thus, this study explored the perceived images of Dolhareubang by focusing on residents in Seoul, Korea using Q methodology. The goal of this research was to evaluate this iconic representation of Jeju as an important component of the island's online tourism destination image. The Q-set was developed from existing literature and defined conceptually in terms of 'value', 'resource', 'story', and 'image'. Thirty five respondents were recruited as P set. Findings indicated four distinctive clusters that perceived the Dolhareubang differently and differences in perceptions were observed in terms of age. The examination of destination image and the exploration of the perceptions of Dolharuebang as a representative of Jeju could contribute to online destination image management or development, which is a crucial component of smart tourism.

• 수산해양교육연구
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• 제24권2호
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• pp.302-310
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• 2012

This study was focused on tourists visiting the Chujado, Jeju Special Self-Governing Province as island tourism. First, this study collected the selection attributes visiting Chujado from literature review and applied the IPA (Importance-Performance Analysis)with the attributes to this research. The results are as follows: First, in the area I, the attributes (climates, exotic atmosphere, tourism information, reservation service, a variety of food, clean food etc.) both with high importance and high performance need to be kept continuously. And, in the area II, the IPA map showed that other attributes (accessibility, a variety of food, accommodation, affordable price etc) with high importance and low performance) need to be improved in the future time. These results can give the implications for establishing an appropriate policy of Chujado tourism development.

• 수산해양교육연구
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• 제24권3호
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• pp.378-386
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• 2012

The objective of this study was to search the attributes and calculate the weights among the attributes considered to choose the best thing of various tourism resources focused on marine ranch of Chagwido in Jeju region. Through this analysis, this research provides the information for establishing development plan of Chagwido. To achieve this goal, this study analyzed the priority of experience tourism through the experts' survey with AHP methodology. The result showed that ecological experience (30.6%), fishing activities (23.1%), release of fish seed (14.9%) and culture experience (14.9%) among various tourism resources in marin ranch of Chagwido were in order of importance. Thus ecological experiences, activities related to fishing facilities and programs should be introduced in order to develop the marine ranch of Chagwido.