• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.165-166
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• 2022

본 논문에서는 웹툰 플랫폼 서비스를 위한 모바일 엣지 컴퓨팅의 구조를 제안한다. 웹툰과 같이 모바일 디바이스에서 실행되는 데이터들을 클라우드 서버로 오프로드하거나 원격 서버로부터 필요한 응용프로그램들을 다운로드 받지 않고, 모바일과 가까운 곳에 캐싱 콘텐츠를 전개함으로써 전송 지연없는 서비스를 보장받으며, 데이터가 발생한 근접 지역에서 데이터 분석 및 처리가 가능하므로 딥러닝을 적용한 새로운 서비스 카테고리로 확장할 수 있음을 제시한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.451-454
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• 2016

최근 스마트폰의 보급률이 높아짐에 따라, 사용자들이 스마트폰을 사용하여 컨텐츠를 즐기는 시간이 많아졌다. 이후 모바일 웹에서 서비스되는 만화들이 연달아 대중들의 이목을 끌게 되어 네이버 웹툰, 다음 웹툰 등 웹툰 서비스 및 웹툰 플랫폼이 증가하고 있다. 또한 웹툰 데이터의 가치와 신뢰성도 점점 높아지고 있어, 영화 애니메이션 게임 등 콘텐츠 사업에 많은 데이터가 사용되고 있다. 따라서 본 논문에서는 나이, 성별, 선호 카테고리, 선호 웹툰 플랫폼 등과 같은 개인 성향 기반으로 협업 필터링 방법을 적용하고, 웹툰의 방대한 데이터를 효과적으로 관리하기 위해 클라우드 컴퓨팅 시스템인 AWS(Amazon Web Service)를 이용하여 개인 성향에 맞게 웹툰을 추천해주는 웹툰 추천 시스템을 제안한다.

• The Journal of the Korea Contents Association
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• v.15 no.8
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• pp.96-108
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• 2015

The market of webtoon is expanding and the main users' acceptance environment of webtoon is changing from web to mobile. Among this phenomena, platform companies combined various digital technologies and a new user interface to the webtoon. The major directions of change in webtoon are applying multimedia effects and actualize the optimized form for the mobile environment represented by a smartphone. This study defined these types of webtoon as 'Webtoon 2.0' and built a separate concept from 'Webtoon 1.0' which means the early form of webtoon. Through this, we propose a new standard in classifying various types of cartoons that are sporadically serviced to users. Also, through experiments with users, we checked the current status of webtoon 2.0 and webtoon 1.0 by quantitatively measuring and analyzing the degree of user satisfaction with the current webtoon. Through this, this study suggest technical and aesthetic development application of Korean webtoon which is available to platform operators, writers and users.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.41-44
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• 2019

4차 산업혁명 시대에 떠오르는 기술인 블록체인과 블록체인의 단점을 보완할 수 있는 분산된 파일 시스템 IPFS을 활용하여 새로운 형태의 웹툰 플랫폼 서비스 BlockToon을 개발하였다. 본 논문에서 개발한 BlockToon은 중앙 서버가 웹툰 정보와 파일을 관리하는 것이 아닌 작가가 파일에 대한 정보를 블록체인과 IPFS에 자유롭게 등록, 관리한다. 블록체인 특성상 수정 및 삭제가 불가능하기 때문에 블록체인에 등록된 웹툰의 정보는 저작권 증명이 가능하다. 또한 주요 데이터를 중앙 서버에서 관리하지 않으므로 중앙 서버 유지 비용이 절감된다.

• Cartoon and Animation Studies
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• s.38
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• pp.259-286
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• 2015

This study investigates the effect of the motivation to use webtoon and the convenience of use(the character of the webtoon service) on the interactivity, and then examines how the interactivity affect the webtoon user's satisfaction and willingness to pay. Using factor analysis, this study found two motivations to use webtoon including 'information acquisition', 'entertainment and easiness of access'. These motivations have an influence on the interaction of the content and Webtoon's user and of Webtoon's users. The motivation of the entertainment and easiness of access is more influential to user's interactivity. The convenience of use is divided two types that are the convenience of the searching information and service. The convenience of webtoon service has positive influence of two types of interaction. The last results find that webtoon user's satisfaction is influenced by gender, the convenience of the searching information and using service. The satisfaction of the female user is higher than man. The more convenience of use is, the more satisfaction of users will be. Willingness to pay is influenced by age, the convenience of webtoon service, and the user's interactivity. The older users are, the more convenience of webtoon service is, and the more the user's interactivity, the higher willing to pay will get. The implications of the findings are discussed in terms of the way to change the profit structure of webtoon service and suggest to increase the interactivity in webtoon service.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.521-524
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• 2017

최근 다양한 웹툰 콘텐츠의 증가와 함께 스마트폰 보급률이 높아지면서, 사용자들의 실시간 웹툰 서비스의 이용이 증가하고 있다. 웹툰 콘텐츠의 가치가 갈수록 점점 높아지고 있으며, 각종 영화 애니메이션 게임 등 다양한 콘텐츠 사업에 많은 데이터가 사용되고 있다. 본 논문에서는 기존 웹툰의 리뷰를 오피니언 마이닝기법을 사용하여 각 웹툰의 선호도를 평가하며 나이, 성별, 선호 장르, 선호 웹툰 플랫폼 등과 같은 개인 성향을 통하여 사용자간의 유사도를 측정하는 협업 필터링 방법을 적용해 각각의 사용자들이 보고 싶어하는 웹툰을 자동적으로 추천해주는 웹툰 추천 시스템을 제안한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.1180-1183
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• 2015

최근 스마트폰 사용자의 증가와 함께 무선 인터넷 보급률이 높아지면서, 언제 어디서나 위치에 구애받지 않고, 네이버 웹툰, 다음 웹툰 등으로 실시간 웹툰 서비스의 이용이 증가하고 있다. 웹툰데이터의 가치와 신뢰성도 점점 높아지고 있어, 각종 영화 애니메이션 게임 등 콘텐츠 사업에 많은 데이터가 사용되고 있다. 본 논문에서는 나이, 성별, 선호 카테고리, 선호 웹툰 플랫폼 등과 같은 개인 성향을 이용하여 협업필터링 방법을 적용하고, 기존에 웹툰에 대한 리뷰를 개인 감정에 관련된 온톨로지를 이용하여 각각의 사용자들이 보고 싶어하는 웹툰을 자동적으로 추천해주는 웹툰 추천 시스템을 제안한다.

• The Journal of Bigdata
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• v.3 no.1
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• pp.21-32
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• 2018

Currently, Webtoon Industry is promising as high potential market from it's high growth trend. The best advantage webtoon propose is that webtoon can provide appropriate service to customers with various needs. For this feature, webtoon industry is expanding throughout the world. This situation may give a great chance for authors and webtoon service corporation to export webtoon contents. Also, this situation could be an opportunity for webtoon to become a new "Korean Wave" contents. For successful advance to market, a close analysis for customers of exporting countries. In this research, we collected the data from Naver Webtoon and analyzed the features of webtoons and webtoon subscribers according to countries. With this research, it would be possible to find out specific methods and variables which affect the preference of webtoon subscribers.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.61-63
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• 2019

본 논문에서는 웹툰 및 웹툰 플랫폼이 효율적으로 국외 시장에 진출하거나 또는 작품 원문의 언어를 사용하지 않는 고객에게 효과적으로 서비스 할 수 있도록 크라우드 소싱을 이용한 번역 및 투고 시스템과 이를 적용한 서비스 매체를 제안한다. 제안하는 시스템은 콘텐츠 번역 자원을 크라우드 소싱을 통해 효율적으로 확보한다. 이를 통해 콘텐츠를 세계화하는데 투입되는 비용을 최소화한다. 또한 디지털 콘텐츠가 디지털 매체를 통해 제공되므로 소프트웨어를 응용 할 수 있는 환경 특성을 이용하여 효과적으로 콘텐츠 내용을 관리하고 검증 할 수 있다. 본 논문에서 제안하는 크라우드 소싱을 활용한 번역 및 투고 시스템을 적용한 디지털 콘텐츠 및 서비스 매체는 기존 디지털 콘텐츠 및 서비스 매체에 비해 콘텐츠 세계화에 필요로 하는 비용효율 면에서 우수함을 보인다.

• Journal of Intelligence and Information Systems
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• v.25 no.4
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• pp.67-88
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• 2019

Webtoon is a Korean-style digital comics platform that distributes comics content produced using the characteristic elements of the Internet in a form that can be consumed online. With the recent rapid growth of the webtoon industry and the exponential increase in the supply of webtoon content, the need for effective webtoon content recommendation measures is growing. Webtoons are digital content products that combine pictorial, literary and digital elements. Therefore, webtoons stimulate consumer sentiment by making readers have fun and engaging and empathizing with the situations in which webtoons are produced. In this context, it can be expected that the sentiment that webtoons evoke to consumers will serve as an important criterion for consumers' choice of webtoons. However, there is a lack of research to improve webtoons' recommendation performance by utilizing consumer sentiment. This study is aimed at developing consumer sentiment pattern maps that can support effective recommendations of webtoon content, focusing on consumer sentiments that have not been fully discussed previously. Metadata and consumer sentiments data were collected for 200 works serviced on the Korean webtoon platform 'Naver Webtoon' to conduct this study. 488 sentiment terms were collected for 127 works, excluding those that did not meet the purpose of the analysis. Next, similar or duplicate terms were combined or abstracted in accordance with the bottom-up approach. As a result, we have built webtoons specialized sentiment-index, which are reduced to a total of 63 emotive adjectives. By performing exploratory factor analysis on the constructed sentiment-index, we have derived three important dimensions for classifying webtoon types. The exploratory factor analysis was performed through the Principal Component Analysis (PCA) using varimax factor rotation. The three dimensions were named 'Immersion', 'Touch' and 'Irritant' respectively. Based on this, K-Means clustering was performed and the entire webtoons were classified into four types. Each type was named 'Snack', 'Drama', 'Irritant', and 'Romance'. For each type of webtoon, we wrote webtoon-sentiment 2-Mode network graphs and looked at the characteristics of the sentiment pattern appearing for each type. In addition, through profiling analysis, we were able to derive meaningful strategic implications for each type of webtoon. First, The 'Snack' cluster is a collection of webtoons that are fast-paced and highly entertaining. Many consumers are interested in these webtoons, but they don't rate them well. Also, consumers mostly use simple expressions of sentiment when talking about these webtoons. Webtoons belonging to 'Snack' are expected to appeal to modern people who want to consume content easily and quickly during short travel time, such as commuting time. Secondly, webtoons belonging to 'Drama' are expected to evoke realistic and everyday sentiments rather than exaggerated and light comic ones. When consumers talk about webtoons belonging to a 'Drama' cluster in online, they are found to express a variety of sentiments. It is appropriate to establish an OSMU(One source multi-use) strategy to extend these webtoons to other content such as movies and TV series. Third, the sentiment pattern map of 'Irritant' shows the sentiments that discourage customer interest by stimulating discomfort. Webtoons that evoke these sentiments are hard to get public attention. Artists should pay attention to these sentiments that cause inconvenience to consumers in creating webtoons. Finally, Webtoons belonging to 'Romance' do not evoke a variety of consumer sentiments, but they are interpreted as touching consumers. They are expected to be consumed as 'healing content' targeted at consumers with high levels of stress or mental fatigue in their lives. The results of this study are meaningful in that it identifies the applicability of consumer sentiment in the areas of recommendation and classification of webtoons, and provides guidelines to help members of webtoons' ecosystem better understand consumers and formulate strategies.