• Journal of Korean Library and Information Science Society
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• v.48 no.4
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• pp.21-47
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• 2017

This study aims to analyze features of topics about AI(Artificial Intelligence) which is gaining a massive attention these days. Newspaper articles published from 2016 to June, 2017 were selected to analyze key subjects. The reason why the period was selected is people started to get attention on AI since 2016 as AlphaGo came out and gave a shock. The number of coded main message was 1,210 in 525 newspaper articles in total. The messages were categorized as three subject categories: the seven major categories, 62 middle categories. and minor categories. The seven major categories contains issues such as AI research, AI application, AI business, AI era, AI argument, AlphaGo, and other topics. The first features of issues about AI found in the major subject categories is that they are various and complicate. Second, it is important that social and policy-level issues related AI, such as job losses, misuse, and error should be dealt with to utilize AI safely. Last, issues related the role of human and revolution of education system in the AI era were shown as subjects which are important but hard to discuss.

• Journal of Korean Library and Information Science Society
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• v.43 no.2
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• pp.157-178
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• 2012

Utilizing a qualitative multimethod approach, this study was to discover and improve the understanding of occupational socialization process of librarians. Through theoretical sampling, 42 participants were in-deathly interviewed at three studies, i.e phenomenological, ethnographic, and grounded theory approach. Analyzed data were finally integrated using grounded theory approach. 'Acquiring Social Recognition as an Information Professional' was emerged as the core category for describing and guiding the occupational socialization process. A seven-stage process was discovered: 'Adapting', 'Experiencing being the Periphery', 'Perceiving the Role', 'Pursuing the advancement', 'Realizing the professionality', 'Rediscovering the Value', and 'Showing the Professionality'. Especially, 'Experiencing being the Periphery' was identified as a critical and unique process, reflected the perceived status of librarians in Korea. Also, it discussed characteristics and socialization strategies of the process.

• Journal of Korean Library and Information Science Society
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• v.48 no.4
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• pp.401-428
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• 2017

Counseling records can be used as a tool to identify the function of a counselor and to identify the client's status and will be able to expand functions as research data of academic and social culture. This study aims to investigate current status of management of records and archives on counselling youth and proposes a improved method to manage records and archives in Korea Youth Counseling & Welfare Institute. For this purpose, we performed interviews with the persons who have a role in managing records and archives. Based on the results, we proposed a method to improve problems. Especially, the proposals are considered in two sides administrative and systematic viewpoint.

• Journal of Information Science Theory and Practice
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• v.7 no.4
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• pp.6-19
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• 2019

The purpose of this article is to problematize the existence of a possible Ibero-American informational thinking. It was initially observed that a relative absence of Ibero-America in the international presentations and mappings of information science exists. Below, the reality of the 22 countries that compose Ibero-America is discussed, a region that can be understood from a sociocultural and geopolitical perspective. Then, a mapping of the information science research in these countries is made. The main research topics found are: epistemological studies, relationships with library science, information literacy, representation and organization, bibliometric studies, information management, user studies, technological dimensions, and relationships with archival science and museum studies. Finally, a general epistemological configuration of information science is presented at a global level, highlighting the great trends of study of information that marked the decades of the 1960s and 1970s (physical model), 1980s and 1990s (cognitive model), and the 21st century (sociocultural model), and which manifested themselves in the different subareas that make up the field. The most recent research in information science, in addition to addressing information transfer (physical dimension) and its relationship with data and knowledge (cognitive dimension), has also incorporated aspects related to the social effects of information, its role in the constitution of identities and culture, and the importance of its material conformations. Such expansion reflects attempts to address the complexity of informational phenomena. Therefore, it is concluded that it is important to place the specific contributions of Ibero-America in this context.

• Journal of Information Processing Systems
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• v.15 no.5
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• pp.1096-1107
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• 2019

In this paper, we present an ontology-based approach to labeling influential topics of scientific articles. First, to look for influential topics from scientific article, topic modeling is performed, and then social network analysis is applied to the selected topic models. Abstracts of research papers related to data mining published over the 20 years from 1995 to 2015 are collected and analyzed in this research. Second, to interpret and to explain selected influential topics, the UniDM ontology is constructed from Wikipedia and serves as concept hierarchies of topic models. Our experimental results show that the subjects of data management and queries are identified in the most interrelated topic among other topics, which is followed by that of recommender systems and text mining. Also, the subjects of recommender systems and context-aware systems belong to the most influential topic, and the subject of k-nearest neighbor classifier belongs to the closest topic to other topics. The proposed framework provides a general model for interpreting topics in topic models, which plays an important role in overcoming ambiguous and arbitrary interpretation of topics in topic modeling.

• Journal of Intelligence and Information Systems
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• v.19 no.3
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• pp.141-156
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• 2013

Social media is a representative form of the Web 2.0 that shapes the change of a user's information behavior by allowing users to produce their own contents without any expert skills. In particular, as a new communication medium, it has a profound impact on the social change by enabling users to communicate with the masses and acquaintances their opinions and thoughts. Social media data plays a significant role in an emerging Big Data arena. A variety of research areas such as social network analysis, opinion mining, and so on, therefore, have paid attention to discover meaningful information from vast amounts of data buried in social media. Social media has recently become main foci to the field of Information Retrieval and Text Mining because not only it produces massive unstructured textual data in real-time but also it serves as an influential channel for opinion leading. But most of the previous studies have adopted broad-brush and limited approaches. These approaches have made it difficult to find and analyze new information. To overcome these limitations, we developed a real-time Twitter trend mining system to capture the trend in real-time processing big stream datasets of Twitter. The system offers the functions of term co-occurrence retrieval, visualization of Twitter users by query, similarity calculation between two users, topic modeling to keep track of changes of topical trend, and mention-based user network analysis. In addition, we conducted a case study on the 2012 Korean presidential election. We collected 1,737,969 tweets which contain candidates' name and election on Twitter in Korea (http://www.twitter.com/) for one month in 2012 (October 1 to October 31). The case study shows that the system provides useful information and detects the trend of society effectively. The system also retrieves the list of terms co-occurred by given query terms. We compare the results of term co-occurrence retrieval by giving influential candidates' name, 'Geun Hae Park', 'Jae In Moon', and 'Chul Su Ahn' as query terms. General terms which are related to presidential election such as 'Presidential Election', 'Proclamation in Support', Public opinion poll' appear frequently. Also the results show specific terms that differentiate each candidate's feature such as 'Park Jung Hee' and 'Yuk Young Su' from the query 'Guen Hae Park', 'a single candidacy agreement' and 'Time of voting extension' from the query 'Jae In Moon' and 'a single candidacy agreement' and 'down contract' from the query 'Chul Su Ahn'. Our system not only extracts 10 topics along with related terms but also shows topics' dynamic changes over time by employing the multinomial Latent Dirichlet Allocation technique. Each topic can show one of two types of patterns-Rising tendency and Falling tendencydepending on the change of the probability distribution. To determine the relationship between topic trends in Twitter and social issues in the real world, we compare topic trends with related news articles. We are able to identify that Twitter can track the issue faster than the other media, newspapers. The user network in Twitter is different from those of other social media because of distinctive characteristics of making relationships in Twitter. Twitter users can make their relationships by exchanging mentions. We visualize and analyze mention based networks of 136,754 users. We put three candidates' name as query terms-Geun Hae Park', 'Jae In Moon', and 'Chul Su Ahn'. The results show that Twitter users mention all candidates' name regardless of their political tendencies. This case study discloses that Twitter could be an effective tool to detect and predict dynamic changes of social issues, and mention-based user networks could show different aspects of user behavior as a unique network that is uniquely found in Twitter.

• Journal of Information Management
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• v.43 no.3
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• pp.117-137
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• 2012

This study examines the status of Korean E-government implementation and explores the ways to contribute to governance improvement by means of the e-government. As far as the level of implementation of e-government, Korea is confirmed to have achieved upper level by global standards, but it is found that continuous efforts of improvement is still required in the area of integrative management, which is considered as a final phase of e-government development. In order to evaluate how much e-government of Korea has contributed to the improvement of governance, I tried to measure the usability of e-government from the perspective of providers and that of consumers, and also, a qualitative evaluation on the provision and usage of functions related to the governance was also adopted. It is concluded that, while Korean e-government has reached a remarkable stage in the quantitative perspectives, there are still a room for improvement from the qualitative perspective, such as its role as a means of governance improvement. Also, based on the above evaluations and consequent findings, I suggest guidelines for the improvement of governance through the development of e-government.

• Child Health Nursing Research
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• v.26 no.2
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• pp.286-295
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• 2020

Purpose: The purpose of this study was to review studies investigating the effect of bereavement care provided for parents in the neonatal intensive care unit. Methods: We conducted a literature review of databases (MEDLINE, Embase, Cochrane Library, and CINAHL) for studies published in English and four databases (RISS, KISS, NANET, and KoreaMed) for Korean studies. The selection criteria included original articles that evaluated the parents' perceptions or responses to bereavement care provided in the neonatal intensive care unit. Of 889 articles from the initial screening, 66 articles underwent full-text review and five articles were finally selected for analysis. Results: None of the studies was conducted in Korea. Only one study used a randomized control trial design. The forms of bereavement care reviewed included a provision of a memory package, grief information, and emotional and/or social support from peers or health care providers. The effectiveness of bereavement care was measured by including grief, social support, and depression. Conclusion: Bereavement care can be considered to be beneficial for relieving grief reactions and enhancing the personal growth of bereaved parents. Future research should assess the needs of bereaved parents in Korea. Nurses may play a role in developing the bereavement care for parents.

• Journal of the Korean Society for information Management
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• v.38 no.1
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• pp.1-23
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• 2021

Small libraries have continued to be extended since 2013 enactment of regulations requiring establishment of small libraries in multi family housing complex not less than 500 households and the 'Living SOC Project' of national government. Gwangmyeong city designated the year of 2020 as the 'year of citizen autonomy' sharing the authority with citizens and publicly announced its plan to rapidly extend the living and cultural spaces as a part of that extension. Likewise, as the social environment and the need of users are expected to change, it seems that the small libraries in Gyangmyeong City must prepare a plan for practicing a long and mid term practices in responding to that change. Thus, this Study tries to make a suggestion for a plan for the policy for revitalization of small libraries in order to handle those changing social environment and the need of users. For this, a survey and in-depth group interview were conducted for the operators of the small libraries in Gyangmyeong City. As a result of this Study, the following policies are suggested: first, improvement of support system for improving operational system, strengthening of cooperative system of public libraries, and strengthening of role of public small libraries, strengthening of public characters of private small libraties and differentiated support through evaluation based on abilities; and second, it is necessary for utilization of circulating librarians and professional volunteers, sharing of materials through mutual lending of books, associate librarians having term of office and revitalization of small library conference by regions.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.2
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• pp.91-110
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• 2021

In the face of the prolonged Covid-19, this study conducted a network analysis to propose the policy direction for the Korean National Assembly to go forward. Using COVID-19 news articles, various types of networks were created and analyzed for the parliamentary activities of the Korean National Assembly related to Covid-19. Specifically, we utilize the co-occurrence and keyword information to generate two types of parliamentary networks: co-occurrence-based network and content-based network. In addition, a topic keyword-driven parliamentary network was constructed by using topic modeling. The results of the study are as follows. First, lawmakers in the ruling party had a wide range of topics regarding Covid-19, while lawmakers from other political parties had a limited number of issues covered. Next, a few representative legislators were identified as influential actors in most of the centrality indicators. Based on the research results, cooperation on diverse agendas related to Covid-19 should be promoted between lawmakers from various political parties. And representative legislators from both major parties should play a crucial role as intermediaries to increase communication between them.