• Journal of the Korean Society for information Management
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• v.31 no.4
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• pp.161-178
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• 2014

Recently, many information services allow users to collaborate to produce and use information. Sharing information is also important for users who have similar taste or interest. As various channels are available for users to share their experiences and knowledge, users' data have also been accumulated within the information services. This study collected movie lists made by users of IMDB service. Co-word analysis and ego-centered network analysis were adapted to discover relevant information for users who chose a specific movie. Three factors of movies including movie title, director and genre were used to present related movie information. Movie title is an effective feature to present related movies with various aspects such as theme or characters and the popularity of directors affects on identifying related directors. Genre is not useful to find related movies due to the complexity in the topic of a movie.

• The KIPS Transactions:PartD
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• v.11D no.7 s.96
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• pp.1507-1516
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• 2004

Recently, the most remarkable word is 'ubiuuitous' in field of information and communication. Ubiquitous has a meaning 'exist everywhere' that means our daily life is connect as network. It means we can get the information which in need whenever and wherever with safety. We predict this word will be symbolical keyword which lead an information-oriented society including the internet a quite long it. It's already per-meate to us the Ubiquitous. It's taken by CCTV when we visit bank. It's made to us can know the fastest way the GPS system to be connected by an artificial satcllite on mobile, and many people use mobile and PDA for investment in stocks. Among them, it has begun to spread many mobile services to us. In this paper, it's the aim a creation of value added through an efficient mobile services to use wireless internet different with previous way, cutting down on expenses and business modeling.

• The KIPS Transactions:PartB
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• v.18B no.5
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• pp.325-332
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• 2011

Social Network Services(SNS) such as Twitter, Facebook and Myspace have gained popularity worldwide. Especially, sentiment analysis of SNS users' sentence is very important since it is very useful in the opinion mining. In this paper, we propose a new sentiment classification method of sentences which contains formal and informal vocabulary such as emoticons, and newly coined words. Previous methods used only formal vocabulary to classify sentiments of sentences. However, these methods are not quite effective because internet users use sentences that contain informal vocabulary. In addition, we construct suggest to construct domain sentiment vocabulary because the same word may represent different sentiments in different domains. Feature vectors are extracted from the sentiment vocabulary information and classified by Support Vector Machine(SVM). Our proposed method shows good performance in classification accuracy.

• 한국HCI학회:학술대회논문집
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• 2007.02a
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• pp.393-398
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• 2007

본 논문은 작업 현장에서 청각장애인의 의사소통을 보조하는 한국 수화 메시지 보드의 개발에 대하여 다룬다. 청각 장애인은 일상적인 직업 현장에서 의사소통이 자유롭지 못하여 업무에 잘 적응하지 못하고 사내의 인간관계에 많은 어려움을 겪고 있다. 문자를 이용한 정보 전달을 통해 모든 의사소통을 대체할 수 있을 것이라는 일반적인 생각과는 달리, 청각장애인의 경우 비장애인과 비교하여 사물의 개념 습득에 어려움이 있을 수 있으며 마찬가지로 사용하는 어휘수도 제한적인 경우가 많아 문자를 통한 의사소통에는 명확한 한계가 존재한다. 실제로 청각 장애 근로자가 이직하는 사유로 의사소통이나 인간관계가 높은 비중을 차지한다. 수화 메시지 보드는 크게 사내 네트워크를 이용한 공지 사항 전달을 위한 용도와 복수 개의 메시지 보드 간 문자 송수신의 용도로 사용 가능하다. 비장애인이 청각장애인에게 문자 입력으로 의사를 전달하면, 전달된 문자는 문자-수화 번역기를 통해 자동으로 수화로 번역되어 아바타의 수화 동작으로 화면에 출력된다. 전체 시스템은 수화 아바타를 포함한 그래픽 유저 인터페이스 (GUI), 수화 데이터베이스 및 한글 형태소/문장 분석기를 포함하는 문자-수화 번역기, 그리고 TCP/IP 기반의 문자 전송기의 세 부분으로 나뉜다. 본 논문에서는 수화 데이터베이스의 단어 선정을 위한 대상 작업 현장을 청각 장애 근로자가 타 직업에 비해 많은 비중을 차지하는 전자 부품 조립 업체로 한정하였다. 수화 데이터베이스는 자음 14종, 모음 17종, 숫자 15종, 일상생활 용어 1000종, 전자 부품 조립 업체에 특화된 단어 50종 및 직업 교육 관련 용어 50종으로 이루어진 총 1146종의 수화 단어를 포함하며, 수화 데이터베이스에 등록되지 않은 단어에 대해서는 지화로 표현하도록 한다. 이 중 전자 부품 조립 업체 특화 단어와 관련하여서는, 현재 동일한 분야의 작업 현장이라 하더라도 각 사업장 간 사용되는 수화가 통일되지 않아 문헌 조사 및 현장 조사를 통해 사용 빈도가 높고 형태가 공통적인 50종을 추려내었다. 본 연구는 실제 업무현장에서 청각장애인이 겪는 의사소통의 문제를 효과적으로 해결함으로써, 청각장애인이 직업 현장에 보다 쉽게 적응하도록 도움을 줄 뿐만 아니라, 일을 통해 자아 실현을 하도록 돕는 방안이 될 수 있다는 점에서 중요한 의의를 갖는다.

• Journal of Service Research and Studies
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• v.2 no.2
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• pp.45-51
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• 2012

U-healthcare is real-time monitoring of personal biometric information using by portable devices, home network and information and communication technology based healthcare systems, and fused together automatically to overcome the constraints of time and space are connected with hospitals and doctors. As u-healthcare gives health service in anytime and anywhere, it becomes to be a new type of medical services in patients management and disease prevention. In this paper, recent changes in prevention-oriented care is analyzed in becoming early response for Healthcare Information System by requirements analysis for technology development trend. According to the healthcare system, PACS, OCS, EMR and emergency medical system, U-healthcare is presenting the design of a patient-centered integrated client system. As the relationship between the meaning of the terms is used in the ontology, information models in the system is providing a common vocabulary with various levels of formality. In this paper, we propose an ontology-based system for patient-centered services, including the concept of clustering to clustering the data to define the relationship between these ontologies for more systematic data.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.29 no.3
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• pp.271-295
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• 2018

Information inequality has been differently conceptualized and defined in national laws. While the information inequality increases, library policy and informational service has lagged behind in meeting the needs of the society and the state. This paper aims to provide a preliminary research on information inequality, in terms of conceptualization, the legal base, terminology, index development based on the level of digital information. The paper also highlights cases on library services for solution of the difference. It compares library services designed for the disabled, ethnic minorities and the aged. The paper reviews the existing literature and project data. As a result, there are a number of processes and tasks that needs to be developed, including policy development, supporting organization, human capital, cooperating network, supporting facilities and service, and data.

• Management & Information Systems Review
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• v.32 no.5
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• pp.193-231
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• 2013

As developed IT, Word-of-Mouth(WOM) used varied terms as buzz marketing and viral marketing, and impressed that importance. Despite introduced new marketing tool on managers and professionals, online word-of-mouth including SNS lack of study on social network what based viral in marketing. In social network, patterns of relationship between individuals influence each other individual behaviors. Therefore this research grouped friendship-network and advice-network by characteristics, studied on trust of information source that antecedents of word-of-mouth in network. This study examined that affect- and cognition based trust affect WOM acceptance as WOM behaviors and examined effect of type of product as moderating variable. Additional this literature studied that WOM acceptance affect WOM recommend. To find the Influence of Trust on Word-of-Mouth Behaviors, a survey has done 206 samples(undergraduate students). The results of this study are as following : First, type of trust different friendship network and advice network. Affect-based trust is outstanding in friendship network than in advice network, while cognition-based trust stands out in advice network than another. Second, affect- and cognition based trust positive affect WOM acceptance. Contrary to expectations, what is preconceived trust in network have a similar effect for WOM acceptance regardless of type of trust. Third, WOM acceptance positive affect WOM recommend. Fourth, affect based trust affect WOM acceptance of hedonic product rather than utilitarian product. Upon especially in friendship network terms, affect-based trust has a more effect on WOM acceptance than cognition-based trust. This study has many implications. First, it is important that trust what have an influence WOM acceptance grouped affect- and cognition based trust. Second, it confirmed that trust is antecedents of positive WOM. Third, it is important that network grouped friendship network and advice-network by trust. Fourth, it gave managerial implications that they have to supply WOM through which network by type of product. We This study classified network and trust based on previous study. Then it examined relations between WOM behaviors. Further research could do enrich various things for example various age group, valence of message, quality of information.

• Journal of the Korean Society for information Management
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• v.35 no.3
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• pp.77-100
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• 2018

The objectives of this study is to present a discovering process of interdisciplinary convergence technology using text mining of big data. For the convergence research of biotechnology(BT) and information communications technology (ICT), the following processes were performed. (1) Collecting sufficient meta data of research articles based on BT terminology list. (2) Generating intellectual structure of emerging technologies by using a Pathfinder network scaling algorithm. (3) Analyzing contents with topic modeling. Next three steps were also used to derive items of BT-ICT convergence technology. (4) Expanding BT terminology list into superior concepts of technology to obtain ICT-related information from BT. (5) Automatically collecting meta data of research articles of two fields by using OpenAPI service. (6) Analyzing contents of BT-ICT topic models. Our study proclaims the following findings. Firstly, terminology list can be an important knowledge base for discovering convergence technologies. Secondly, the analysis of a large quantity of literature requires text mining that facilitates the analysis by reducing the dimension of the data. The methodology we suggest here to process and analyze data is efficient to discover technologies with high possibility of interdisciplinary convergence.

• Journal of the Korea Society of Computer and Information
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• v.27 no.3
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• pp.53-61
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• 2022

Recent years have drawn a great attention to generation MZ and Metaverse, due to 4th industrial revolution and the development of digital environment that blurs the boundary between reality and virtual reality. Generation MZ approaches the information very differently from the existing generations and uses distinguished communication methods. In terms of learning, they have different motivations, types, skills and build relationships differently. Meanwhile, Metaverse is drawing a great attention as a teaching method that fits traits of gen MZ. Thus, the current research aimed to investigate how to increase the use of Metaverse in Educational Technology. Specifically, this research examined the antecedents of popularity of Gather Town, a platform of Metaverse. Big data of news articles have been collected and analyzed using the Bigkinds system provided by Korea Press Foundation. The analysis revealed, first, a rapid increasing trend of media exposure of Gather Town since July 2021. This suggests a greater utilization of Gather Town in the field of education after the COVID-19 pandemic. Second, Word Association Analysis and Word Cloud Analysis showed high weights on education related words such as 'remote', 'university', and 'freshman', while words like 'Metaverse', 'Metaverse platform', 'Covid19', and 'Avatar' were also emphasized. Third, Network Analysis extracted 'COVID19', 'Avatar', 'University student', 'career', 'YouTube' as keywords. The findings also suggest potential value of Gather Town as an educational tool under COVID19 pandemic. Therefore, this research will contribute to the application and utilization of Gather Town in the field of education.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.2
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• pp.81-97
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• 2022

This paper's purpose is to get hold of the recent research trend by analyzing the variables uesd in startups related papers. The startups related papers in this paper are the papers which include 'startups' in the title of the registered papers from the year 2013 to the year 2020. This study's analysis methods are text-mining of all variables and text-network analysis of affected variables. Visualizing tool for network analysis is Gephi. The result of variables' analysis is as follows. First, independent variables consist mainly of variables about startups' internal factors and outside environment, but due to startups' features like early stage company's features, innovative features, most of variables are about enterprise internal competitiveness, marketing 4P strategy, entrepreneurship, coopreation method, transformational leadership, enterprise features, lean startup strategy, enterprise internal communication, value orientation, task conflict, relationship conflict, knowledge sharing, etc. Second, dependent variables are mainly about outcome, and are classified into financial performance and non-financial performance by overall concept. In other words, startups related papers have higher interest in non-financial performance, like management performance, team performance, SCM performance as well as financial performance like sales quantity owing to startups' immaturity in getting good financial performance. Through this study we can find out as follows. Although there are not many officially registered papers dealing with startups, those papers include various themes about stratups. For example, there are trendy themes like lean startups strategy, crowdfunding, influencer and accelerator, etc.