• Journal of the Korean Society for information Management
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• v.40 no.4
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• pp.123-145
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• 2023

During the COVID-19 period, public libraries produced and provided a variety of online contents to users as an alternative to offline services. The purpose of this study was to analyze the overall management of online contents in public libraries in the post COVID-19 period and to provide a methodological basis for improving online contents management. This study surveyed the overall current state of online content management in 305 public libraries in terms of production, services, and preservation. We also analyzed the librarian's perception of the online contents management process. As a result of the analysis even after the COVID-19 period, public libraries are efficiently producing and providing online contents and are actively providing this through the library website and social media. In addition, librarians recognized that online contents produced by public libraries are valuable as library resources and predicted that the online content would be produced more in the future. Also, they faced difficulties in production and management due to a lack of professional capabilities and extra workload, but they have recognized the high need for online contents management. Online contents is leading a paradigm shift in public library services. Therefore, attention and effort to activate online content is no longer an option but a necessity.

• Digital Contents
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• no.3 s.118
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• pp.80-89
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• 2003

정부는 지난 1월 23일 "제1차 온라인디지털콘텐츠산업발전위원회"를 개최해 2003년부터 2005년까지 디지털콘텐츠산업발전을 위해 각 부처가 추진해야할 범정부적 정책과제인 [온라인디지털콘텐츠산업발전기본계획]을 심의, 확정했다. 국무조정실장을 위원장으로 정보통신부, 재정경제부, 문화관광부, 산업자원부 등 총 10개 부처 차관 및 민간대표 10명으로 구성된 "온라인디지털콘텐츠산업발전위원회"는 2005년까지 우리나라 디지털콘텐츠산업을 위해 정부가 추진해야할 정책방향과 주요과제를 최종 확정, 발표했다.

• Journal of the Korea Society of Computer and Information
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• v.17 no.5
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• pp.169-176
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• 2012

The supply chain of online digital contents industry differs much from the supply chain of offline industry which produces and supplies physical products. Portal facilitates the creation, distribution, and usage of online digital contents by providing efficient and convenient content distribution platform to contents suppliers and users, resulting in enhancing competitiveness of portal supply chain. Each portal builds it's own supply chain and various participant firms like CPs(Content Providers) and SPs(Solution Providers) are collaborating together to survive from the fierce competition. However, there is few research work on portal SCM to explain how to design and implement a Portal SCM in a successful way. So, this paper investigates the structure of Portal SCM and the differences between traditional SCM and Portal SCM. Also, this paper proposes seven research issues need to be addressed to design and implement a portal in an efficient and effective way.

• The Journal of the Korea Contents Association
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• v.18 no.9
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• pp.468-481
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• 2018

This study aims to empirically investigate how users' online engagement behaviors predict their uses of paid contents. To this end, the data from the 2016 Korean Media Panel Survey, which has been conducted annually by the Korea Information Society Development Institute(KISDI), were analyzed. Major findings(N=8.313) were as follows. First, the active type of online engagement(e.g., posting, commenting), which contributes to direct creation of online contents, was the most powerful predictor to explain the DV. On the other hand, relatively passive actions of user engagement(e.g., sharing, endorsing, voting) turned out to have no significant effects on the uses of paid contents, just as personality traits and online privacy concerns did. Based on these results, it is recommended that online contents or platform service providers should try to establish clearly-targeted marketing strategies, after thoroughly collecting and analyzing the data of users' various online behaviors.

• The Journal of the Korea Contents Association
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• v.20 no.1
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• pp.378-391
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• 2020

This paper tries to critically examine how development of digital technology affects on the processes of production, consumption and intermediation of popular culture. We focus on the case of BTS to find changes after new media environment. In production part, artist produces diverse contents through multiple platforms to be a 'total package', and in consumption part, fans vote and promote online to support their artist, and their roles have expanded to the cultural intermediary at some part, so on the part of intermediation, inequalities from the power relations have changed in a part.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.11a
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• pp.323-326
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• 2004

최근 세계적으로 게임 산업은 문화콘텐츠 산업의 핵심으로 인정받고 있으며 우리 정부도 21세기 국가성장 동력의 핵심영역으로서 게임을 지목하고 있다. 그 중 2002년 아케이드 게임을 제치고 처음으로 1위로 등극한 온라인게임은 2003년에는 플랫폼 생산매출 $50\%$를 차지하며 국내 게임시장을 견인하고 있다. 그러나 게임 산업의 인기와 온라인게임의 확산에 비해 대부분의 게임제작업체들은 짧은 기간의 간단한 베타테스트에 의존하고 있어 콘텐츠의 품질평가에 대한 인식 부족과 만족스러운 테스트 결과를 얻기에는 부족함이 많다. 이러한 문제점을 해결하기 위해서는 온라인 콘텐츠의 특성을 반영한 체계적인 품질모델 및 모델에 기반을 둔 품질평가 프로세스 그리고 각 품질특성을 시험하기 위한 시험기법들이 필요하다. 본 논문에서는 ISO/IEC 9126 및 14598 기반의 온라인 게임콘텐츠 품질평가 모델 선정과 품질평가 프로세스를 제시하고자 한다.

• Proceedings of the Korea Contents Association Conference
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• 2011.05a
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• pp.565-566
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• 2011

웹 2.0과 소셜미디어의 발전으로, 자발적이며 상호작용적 사용자들의 집단 지성을 활용하는 소셜 협업의 형태가 발전하고 있다. 사용자들의 참여(participation)와 대화(conversation), 소셜 세계의 커뮤니티(community)형성과 개방(openness), 연결(connectedness)을 기반으로 성장한 소셜 협업의 발전은 여러가지 형태로 진화돼 왔다. 온라인 상의 집단 협업, 크라우드 소싱이라고도 불리워지는 소셜 협업은 사용자 공동생산 구조, 제품기획 참여 및 문제해결, 크라우드소싱 마케팅 프로모션, 공동 재원 활용과 사회적 기업 등의 형태를 보이고 있다. 특히 사용자들과 함께 소셜 뉴스생산의 구조를 성공적으로 만들어가는 허핑턴포스트의 사례를 살펴보고 우리나라 온라인 뉴스에 대한 시사점과 사용자 중심의 소셜 협업 발전방안을 모색해보고자 한다.

• Digital Contents
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• no.12 s.79
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• pp.28-29
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• 1999

데이터 마이닝을 통해 기업은 웹사이트상의 패턴을 의미 있는 정보로 종합해내고 인터넷 상의 고객들과 예상치를 이해하고 연관시킬수 있게 된다. 데이터와 웹이 제공하는 방대한 사업지식의 흐름에 근거한 웹 마이닝은 온라인 고객과의 관계를 생성하고 유지시키며 생산성 있는 온라인 상점의 최전선을 구축하는데 있어 결정적 열쇠가 되는 것이다.

• The Journal of the Korea Contents Association
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• v.17 no.2
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• pp.404-414
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• 2017

With the development of smartphones and online social networks, users produce a lot of contents and share them with each other. Therefore, users spend time by viewing or receiving the contents they do not want. In order to solve such problems, schemes for recommending useful contents have been actively studied. In this paper, we propose a contents recommendation scheme using collaborative filtering for users on online social networks. The proposed scheme consider a user trust in order to remove user data that lower the accuracy of recommendation. The user trust is derived by analyzing the user activity of online social network. For evaluating the user trust from various points of view, we collect user activities that have not been used in conventional techniques. It is shown through performance evaluation that the proposed scheme outperforms the existing scheme.

• Journal of Internet Computing and Services
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• v.17 no.3
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• pp.107-113
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• 2016

Following the recent advancement in the use of social networks, a vast amount of different online reviews is created. These variable online reviews which provide feedback data of contents' are being used as sources of valuable information to both contents' users and providers. With the increasing importance of online reviews, studies on opinion mining which analyzes online reviews to extract opinions or evaluations, attitudes and emotions of the writer have been on the increase. However, previous sentiment analysis techniques of opinion-mining focus only on the classification of reviews into positive or negative classes but does not include detailed information analysis of the user's satisfaction or sentiment grounds. Also, previous designs of the sentiment analysis technique only applied to one content domain that is, either product or movie, and could not be applied to other contents from a different domain. This paper suggests a sentiment analysis technique that can analyze detailed satisfaction of online reviews and extract detailed information of the satisfaction level. The proposed technique can analyze not only one domain of contents but also a variety of contents that are not from the same domain. In addition, we design a system based on Hadoop to process vast amounts of data quickly and efficiently. Through our proposed system, both users and contents' providers will be able to receive feedback information more clearly and in detail. Consequently, potential users who will use the content can make effective decisions and contents' providers can quickly apply the users' responses when developing marketing strategy as opposed to the old methods of using surveys. Moreover, the system is expected to be used practically in various fields that require user comments.