• 한국IT서비스학회지
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• 제15권1호
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• pp.289-298
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• 2016

There are continuos tendencies toward that foreign tourists increase. Since 55% of them visit Korea without data communication for saving the communication costs, they can not utilize a variety of O2O services through QR/NFC/Beacon. There have been some researches to provide a smart map service based on the micro webpage technology even without data communication. But, they do not suggest how the templates are retrieved into their smart-phones. In this paper, we describe a mobile tourist information system for those who have no data communication. We utilize the micro webpage technology to develop a system for market promotion, shopping goods, and tourist maps. What matters in the micro webpage techniques is that the templates should be already downloaded to the users' smart phones before using it. The preceeded research did not mention the problem. We suggest a scheme that tourists obtain the tremplates in the information offices on the spot through Wi-Fi. We describe the details of the system, and evaluate the data overhead of templates and the time to be downloaded. We show that the overheads are endurable, which means that the system would be working well.

• 문화기술의 융합
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• 제4권4호
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• pp.31-36
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• 2018

광 산업은 국가 경제 활성화에 지대한 영향력을 갖고 있으며, IT기술의 발전은 관광객의 특성, 행위, 구매 성향, 관심사 등에 기반한 개인 프로파일 정보 및 위치정보, 활동정보 등의 수집과 분석이 가능해졌다. 이를 구현하기 위해 융합형 스마트관광 정보 서비스 플랫폼 구현은 3단계로 나누어 비지니스 모델 개발, IoT & 빅데이터 통합관리 시스템, 빅데이터 알고리즘 개발 및 분석 플랫폼 개발로 완성된다. 플랫폼 및 알고리즘의 원천기술은 오픈소스를 채택하고 그 기반위에 서비스 요소를 확장한 후, 지역을 연계한 Test-Bed 실증 시험을 통해 문제점을 보완하는 과정을 진행하게 된다. 이 플랫폼을 활용하면 다양한 정보를 통합적으로 분석하여 관광객별 맞춤화된 서비스를 제공할 수 있는 스마트관광 환경이 가능해진다. 또한 지역중심의 스마트관광 생태계 조성을 통해 관광 목적지 주민의 삶을 개선하고 지역 재생과 일자리 창출에도 기여할 수가 있을 것이다.

• 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 Internet, Broadcasting and Communication
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• 제8권4호
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• pp.39-47
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• 2016

This study is a smart tourism research based on face recognition applied system that manages individual information of foreign tourists to smartphone. It is a way to authenticate by using face recognition, which is biometric information, as a technology applied to identification inquiry, immigration control, etc. and it is designed so that tourism companies can provide customized service to customers by applying algorism to smartphone. The smart tourism system based on face recognition is a system that prepares the reception service by sending the information to smartphone of tourist service company guide in real time after taking faces of foreign tourists who enter Korea for the first time with glasses attached to the camera. The smart tourism based on face recognition is personal information recognition technology, speech recognition technology, sensing technology, artificial intelligence personal information recognition technology, etc. Especially, artificial intelligence personal information recognition technology is a system that enables the tourism service company to implement the self-promotion function to commemorate the visit of foreign tourists and that enables tourists to participate in events and experience them directly. Since the application of smart tourism based on face recognition can utilize unique facial data and image features, it can be beneficially utilized for service companies that require accurate user authentication and service companies that prioritize security. However, in terms of sharing information by government organizations and private companies, preemptive measures such as the introduction of security systems should be taken.

• 한국IT서비스학회지
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• 제20권5호
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• pp.29-41
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• 2021

The spread of COVID-19 has been changed the tourism industry. Travelers changed their traveling style and started to consider congestion of the spot for their health and safety. In Jeju, a famous tourist destination in South Korea, managing the congestion of tourists has become an important issue. This example introduces the Jeju Tourism Organization's development of a system as a smart tourism information service that manages congestion in real-time big data. Combining with congestion theory and behavior immune system, we would like to assure the necessity of the system. Also, by analyzing the system, we understand how deducing congestion information from big data and the new paradigm of the tourism industry combined with congestion theory. Data was collected by Korea's telecommunication company SKT to develop the system. The paper explains the reason for choosing the company and the pros of data quality. We expect this system to be a solution for any other city in the world under a similar situation. Finally, several suggestions for the system are included to promote and better future usage.

• Journal of Information Processing Systems
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• 제16권4호
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• pp.750-759
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• 2020

The wide application of various integrated location-based services (LBS social) and tourism application (app) has generated a large amount of trajectory space data. The trajectory data are used to identify popular tourist attractions with high density of tourists, and they are of great significance to smart service and emergency management of scenic spots. A hot spot analysis method is proposed, based on spatial clustering of trajectory stop points. The DBSCAN algorithm is studied with fast clustering speed, noise processing and clustering of arbitrary shapes in space. The shortage of parameters is manually selected, and an improved method is proposed to adaptively determine parameters based on statistical distribution characteristics of data. DBSCAN clustering analysis and contrast experiments are carried out for three different datasets of artificial synthetic two-dimensional dataset, four-dimensional Iris real dataset and scenic track retention point. The experiment results show that the method can automatically generate reasonable clustering division, and it is superior to traditional algorithms such as DBSCAN and k-means. Finally, based on the spatial clustering results of the trajectory stay points, the Getis-Ord Gi* hotspot analysis and mapping are conducted in ArcGIS software. The hot spots of different tourist attractions are classified according to the analysis results, and the distribution of popular scenic spots is determined with the actual heat of the scenic spots.

• Journal of the Korean Data and Information Science Society
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• 제26권2호
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• pp.409-418
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• 2015

SNS 등 온라인에 쏟아지는 고객의 감성분석을 활용하여 마케팅 등 다양한 분야에서 성과를 내고 있다. 고객의 제품사용 후기 데이터를 수집하여 신제품의 마케팅 전략과 제품개선 방안을 도출하고 있으며, 선거철에는 유권자들의 마음을 실시간으로 읽어서 선거 전략을 수립하고 있다. 본 연구에서는 온라인 상에서 충북관광에 관한 글들을 수집하여 텍스트 마이닝 기법을 활용하여 분석함으로써 충북관광을 위한 홍보전략과 관광진흥 정책을 수립하는 방안을 제시한다. 사용된 데이터는 주요 블로그, 뉴스, 관광관련 공공 데이터 등이며, 충북전역의 관광지를 대상으로 한다. 분석결과 충청북도 북부지역의 관광지들이 주요 이슈 관광지로 나타났으며, 관광지별로 연관 관광지와 연관 키워드들이 분석되었다. 또한, 주요 관광지별 감성분석을 통하여 긍/부정 현황과 그 원인을 파악할 수 있도록 하였다. 특히 이들 분석에 다차원 분석 기법을 연계함으로써 관광관련 텍스트 정보를 다각도로 분석하여 전략을 수립하는데 활용할 수 있도록 하였다.

• 인터넷정보학회논문지
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• 제9권2호
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• pp.131-138
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• 2008

본 연구의 목적은 실용적으로 사용될 수 있는 위치 인시 기반 관광 가이드 시스템을 개발하는 것이다. 본 연구에서는 이를 위해 PDA를 사용하여 서울 중심부에 있는 덕수궁 관장을 위한 위치 인식 기반 관광 가이드 시스템을 개발하였다. 이 시스템은 관광객들에게 현재 위치, 주변 정보 그리고 건물들의 자세한 설명 등과 함께 덕수궁을 가이드 한다. 또한 관광 가이드의 질을 높이기 위해 사용자 유형에 따른 맞춤형 가이드, 다중 언어 음성 가이드 등을 제공한다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2021년도 추계학술발표대회
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• pp.677-680
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• 2021

'파리의 더러운 지하철', '런던의 비싼 물가' 등 관광지에 대한 몇 마디 말은 관광지를 직관적으로 이해하는데 도움을 준다. 관광지에 대한 직관적 평가를 파악하기 위해서 클러스터링 기법을 사용하였다. '주차', '경치', '시설'과 같은 다양한 라벨을 부여하여 클러스터링을 비교한 결과 '주차', '경치' 등 비슷한 문맥의 리뷰가 같은 클러스터로 묶인 것을 확인할 수 있었고, 각 분야의 문맥을 파악하기 위해 대표문장을 추출하였다. 각 분야의 대표문장은 해당 분야의 평가를 잘 파악할 수 있었고, 해당분야의 만족도뿐만 아니라 불편사항 등을 이해하는데 도움을 준다.

• Journal of Smart Tourism
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• 제3권1호
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• pp.23-34
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• 2023

Prior research on Extended Reality (XR) has been a starting point for the development of the Metaverse. It is also a concern for researchers in the tourism field since it can enhance the tourist experience. Metaverse Tourism provides a virtual experience of the tourism destination for the users. It is potentially developed and predicted to be the future of tourism, enhancing the tourist experience through communication between humans and avatars and providing a new option for tourists to enjoy leisure activities. Recently, discussion on Metaverse tourism is still emerging, with some open talks from researchers in the intersections between information technology and tourism. This study extends prior studies by proposing six Metaverse tourism elements and categorizing them into core and supporting elements. Then, we analyze the consequences of those elements on the Tourism Experience Journey to enhance each stage with different characteristics. This study can contribute to continuing recent dialogues among scholars on how Metaverse can be applied in the tourism sector by proposing six elements that should be considered in developing and creating Metaverse services.