• Journal of Korean Library and Information Science Society
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• v.35 no.4
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• pp.423-449
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• 2004

In the knowledge society the main resource is knowledge, and the role of library to manage knowledge and information is very important. Therefore it is necessary to knowledge and information management that provides on demand service to user. The purpose of this research is to design model for web-based help-desk knowledge management system. This study used Qualitative methods as interviews and surveys through BBS and e-mail on information service in the university libraries. Here the investigated component factors are followings Q/A service user's education service to use the library, user's online reference service, e-mail service, FAQ service electronic service(BBS), lecture and research service for faculty, my library, SDI service, and open data service. This study was financially supported by Chonnam National University in the program, Post-Doc. 2002.

• Journal of KIISE:Software and Applications
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• v.35 no.10
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• pp.608-615
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• 2008

In Knowledge Q&A services where information is created by unspecified users, document quality is an important factor of user satisfaction with search results. Previous work on quality prediction of Knowledge Q&A documents evaluate the quality of documents by using non-textual information, such as click counts and recommendation counts, and focus on enhancing retrieval performance by incorporating the quality measure into retrieval model. Although the non-textual information used in previous work was proven to be useful by experiments, data sparseness problem may occur when predicting the quality of newly created documents with such information. To solve data sparseness problem of non-textual features, this paper proposes new features for document quality prediction, namely text-confidence features, which indicate how trustworthy the content of a document is. The proposed features, extracted directly from the document content, are stable against data sparseness problem, compared to non-textual features that indirectly require participation of service users in order to be collected. Experiments conducted on real world Knowledge Q&A documents suggests that text-confidence features show performance comparable to the non-textual features. We believe the proposed features can be utilized as effective features for document quality prediction and improve the performance of Knowledge Q&A services in the future.

• Asia pacific journal of information systems
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• v.22 no.4
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• pp.75-99
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• 2012

Innovation can come from inside or outside organizations. Recently, organizations have begun turning to external knowledge more often, through various forms of collective intelligence (CI) as collaborative platform to solve complex problems. Several factors facilitate this CI utilization phenomenon. First, with the rapid development of Internet and social media, numerous web applications have become available to millions of the Internet users over the past few decades. Web 2.0 and social media have become innovative web applications that provide an environment for human social interaction and collaboration. Second, the diffusion of simple and easy-to-use technologies that enable users to interact and design web applications without programming skills have led to vast, previously unknown amounts of user-generated content. Finally, the Internet has enabled communities to connect and collaborate, creating a virtual world of CI. In this study, web enabled CI is defined as a composed ability of individuals who are acting as a single cognitive unit to achieve common goals, think reasonably, solve problems, make decisions, carry out complex tasks, and develop creative ideas collectively through participation and collaboration on the web. Although CI plays a critical role in organizational innovation and collaboration, the dubious quality of CI is still problem that is difficult to solve. In general, the quality level of content collected from the crowd is lower than that from professionals. Thus, it is important to identify determinants of CI quality and to analyze the relationship between CI quality and its usefulness. However, there is a lack of empirical study on the quality factors of web-enabled CI. There exist a variety of web enabled CI sites such as Threadless, iStockphoto or InnoCentive, Wikipedia, and Youtube. One of the most successful forms of web-enabled CI is the Wikipedia online encyclopedia, accessible all over the world. Another one example is Naver KnowledgeiN, a typical and popular CI site offering question and answer (Q&A) services. It is necessary to study whether or not different types of CI have a different effect on CI quality and its usefulness. Thus, the purpose of this paper is to answer to following research questions: ${\bullet}$ What determinants are important to CI quality? ${\bullet}$ What is the relationship between CI quality factors and the usefulness of web-enabled CI? ${\bullet}$ Does CI type have a moderating effect on the relationship between CI quality, its determinants, and CI usefulness? Online survey using Google Docs with email and Kakao Talk was conducted for collecting data from Wikipedia and Naver KnowledgeiN users. A totoal of 490 valid responses were collected, where users of Wikipedia were 220 while users of Naver KnowledgeiN were 270. Expertise of contributors, community size, and diversity of contributors were identified as core determinants of perceived CI quality. Perceived CI quality has significantly influenced perceived CI usefulness from a user's perspective. For improving CI quality, it is believed that organizations should ensure proper crowd size, facilitate CI contributors' diversity and attract as many expert contributors as possible. Hypotheses that CI type plays a role of moderator were partially supported. First, the relationship between expertise of contributors and perceived CI quality was different according to CI type. The expertise of contributors played a more important role in CI quality in the case of Q&A services such as Knowledge iN compared to wiki services such as Wikipedia. This implies that Q&A service requires more expertise and experiences in particular areas rather than the case of Wiki service to improve service quality. Second, the relationship between community size and perceived CI quality was different according to CI type. The community size has a greater effect on CI quality in case of Wiki service than that of Q&A service. The number of contributors in Wikipeda is important because Wiki is an encyclopedia service which is edited and revised repeatedly from many contributors while the answer given in Naver Knowledge iN can not be corrected by others. Finally, CI quality has a greater effect on its usefulness in case of Wiki service rather than Q&A service. In this paper, we suggested implications for practitioners and theorists. Organizations offering services based on collective intelligence try to improve expertise of contributeros, to increase the number of contributors, and to facilitate participation of various contributors.

• Publications of The Korean Astronomical Society
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• v.22 no.4
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• pp.219-227
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• 2007

In this paper, we analyze the scientific inquiries type on Almanac and Historical Astronomy asked through the Q&A service in Korea Astronomy and Science Institute(KASI) webpage with the aid of scientific inquiries analysis methods. We also study the contents of the questions. Specifically, we have created statistics of questions and inquiries, and have developed categories to analyze the characteristics of questions with regard to their cognitive aspects. Each question is categorized as either of the two elements based on their recognitive aspect: science knowledge or science study. Each element also has sub-categories that help the reader understand the characteristics of the questions. For the analysis, we used the sample consisting of questions collected from April, 2005 to June, 2007. Through this study, we achieved a better understanding of the questions in the area of Almanac and Historical Astronomy asked in the Q&A service. Throughout this study, we find that the need of questions in the area of Almanac and Historical Astronomy are increasing with time, and the overall quality of the questions is getting improved. As we expect that the number of people using our Q&A service will increase and that the questions will get more difficult to answer, development of improved contents is required.

• Journal of the Korea Society of Computer and Information
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• v.14 no.10
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• pp.43-53
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• 2009

Knowledge retrieval service that uses collective intelligence which has special quality of open structure and can share the accumulative data is gaining popularity. However, acquiring the right needs for users from massive public knowledge is getting harder. Recently, search results from Google which is known for it's exquisite algorism, shows results for collective intelligence such as Wikipedia, Yahoo Q/A at the highest rank. Objective of this paper is to show that most answers come from human and to find the most influential people in on-line knowledge retrieval service. Hereupon, this paper suggest the influence value calculation algorism by analyzing user relation as centrality which social network is based on user activeness and reliance in Naver 지식iN. The influence value calculated by the suggested algorism will be an important index in distinguishing reliable and the right user for the question by ranking users with troubleshooting solutions in the knowledge retrieval service. This will contribute in search satisfaction by acquiring the right information and knowledge for the users which is the most important objective for knowledge retrieval service.

• Journal of the Korean earth science society
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• v.26 no.6
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• pp.551-559
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• 2005

The Q&A service of the official Korea Astronomy and Space Science Institute (KASI) webpage was installed in 2000 and have been actively used since then. In this paper, we analyze the questions asked through the Q&A service and the number of inquiries with the aid of statistical methods. We also study the contents of the questions. Specifically, we have created statistics of questions and inquiries that go monthly and yearly, and have developed categories to analyze the characteristics of questions in regards to their cognitive aspects. Each question is categorized into two elements based on their recognitive aspect: science knowledge or science study. Each element also has sub-categories that help readers understand the characteristics of the questions. For the analysis, we used a sample consisted of questions from July to December, 2004. Through this study, we achieved a better understanding of the questions asked by the Q&A service. We are planning to improve the quality of the Q&A service by extending the size of the FAQ(frequently asked questions). Throughout this study, we find that the number of questions are increasing with time, and the overall quality of the questions is improving. As we expect the number of people using our Q&A service to increase and the questions to get more difficult to answer, development of improved content is required.

• Korean Journal of Veterinary Service
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• v.46 no.2
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• pp.123-135
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• 2023

Feline calicivirus (FCV) is considered the main viral pathogen of feline upper respiratory tract disease (URTD). The frequent mutations of field FCV strains result in the poor diagnostic sensitivity of previously developed molecular diagnostic assays. In this study, a more sensitive real-time reverse transcription-polymerase chain reaction (qRT-PCR) assay was developed for broad detection of currently circulating FCVs and comparatively evaluated the diagnostic performance with previously developed qRT-PCR assay using clinical samples collected from Korean cat populations. The developed qRT-PCR assay specifically amplified the FCV p30 gene with a detection limit of below 10 copies/reaction. The assay showed high repeatability and reproducibility, with coefficients of intra-assay and inter-assay variation of less than 2%. Based on the clinical evaluation using 94 clinical samples obtained from URTD-suspected cats, the detection rate of FCV by the developed qRT-PCR assay was 47.9%, which was higher than that of the previous qRT-PCR assay (43.6%). The prevalence of FCV determined by the new qRT-PCR assay in this study was much higher than those of previous Korean studies determined by conventional RT-PCR assays. Due to the high sensitivity, specificity, and accuracy, the new qRT-PCR assay developed in this study will serve as a promising tool for etiological and epidemiological studies of FCV circulating in Korea. Furthermore, the prevalence data obtained in this study will contribute to expanding knowledge about the epidemiology of FCV in Korea.

• Journal of the Korean Home Economics Association
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• v.42 no.5
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• pp.1-10
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• 2004

The last half of the twentieth century brought many new opportunities and challenges to the traditional South Korean family. One area of change that challenges the traditional South Korean family is the availability of new food sources, specifically the introduction of commercial restaurants that offer new types of food in untraditional settings. This research investigated the perceptions of South Korean mothers'(n = 104) regarding the patronage of quick service style restaurants by their children through the use of Q sort methodology. The results showed that even though children do influence the decision making process when determining where to eat away from home, Korean mothers still play a very prominent role in planning the family's food consumption. While Western food styles and practices can provide a variety of food selections and service styles, care should be taken not to over utilize the quick service restaurants' in place of traditional foods.

• Journal of Internet Computing and Services
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• v.17 no.2
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• pp.67-76
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• 2016

Defining of signage market types is an issue of great interest for both service providers and consumers. Through an interview with an expert with a deep understanding about digital signage in early-media stage, and based on analysis results, this study induced three types of signage market types. Each signage market type can be explained by their similar thoughts, opinions, concepts, and behaviors, but are dependent on the differences in a user experiences and knowledge. The study named the interactive signage market as Type 1, the network signage market as Type 2, and the signage-coupled-with-other-media market as Type 3.

• The Journal of the Korea Contents Association
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• v.19 no.8
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• pp.465-472
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• 2019

Although there are various cultural events and cultural contents produced in the region, there is a lack of distribution and spread of regional information to expand related economic consumption. This study combined local advertising by local advertisers with the knowledge search method in question and answer format from a location-based service perspective for the purpose of spreading and using local cultural information. The approach looked at domestic and international cases of knowledge search based on region and location-based advertising research, presented community model of location inquiry based information service and revenue model of local advertisement. Through this, this study designed a question and answer based community and operational structure model of local advertising, and developed an information service system in the form of prototyping. By extending the distribution of question and answer data among users to location information, it is meaningful that a business service model was presented that combines local cultural content information and the demand for user access with the revenue model of local advertising.