• Journal of the Korean Society for Library and Information Science
• /
• v.38 no.1
• /
• pp.173-197
• /
• 2004

It is searched that 56 out of 185 university libraries(30.2%) has adopted 'subject specialization' organization. This 'subject specialization' emerged when university libraries began to care about their users and services for them more than other factors in planning and structuring their organization. The number of university libraries which try to adopt that organization has been continuously increasing. To settle 'subject specialization' in the university libraries under Korea's proper condition and to maximize its effect, each library should consider one's own conditions and step the reasonable procedure in adopting that system. Considering the similar condition which the university libraries in Korea face such as shortage of material support, 'Mixed Model of subject specialization" is reasonable, which means in whole structure of library function-oriented organization is adopted and in Reference Service, subject specialization is adopted. However, the ideal and final destination of Korea's university libraries is the adoption of 'Full subject specialized model": it can be reached when they are supported by sufficient human resources and good conditions.

• Korean Journal of Construction Engineering and Management
• /
• v.2 no.2 s.6
• /
• pp.37-46
• /
• 2001

Business boundaries of firms in the construction industry are strictly regulated in Korea. Under the current law, firms involved in construction processes are classified into five categories; general contractors, specialty contractors, architects' offices, engineering firms, and specialized in inspection. Among these types of firms, general contractors are prohibited to enter into specialty contractor's market and vice versa by the basic law in the construction industry. Also general contractors are not allowed to provide architectural services. The purpose of the law is to prohibit unlicensed companies from entering the construction market and to protect customers. However, the law causes critical problems e.g. low efficiency of production and rent creation. Therefore, we identify problems concerning business boundaries of firms in the construction industry and predict structural changes in the them when they are liberalized. So we surveyed general contractors and specialty contractors in Korea to estimate the effects of the liberalization on the construction industry. Most of contractors point to the enhancement of production efficiency as the motivation to integrate other construction process. If current regulations, which limit firms' decisions on business boundaries, are eliminated, firms will choose optimal business scopes taking into account types of contracts adopted by the Government for public works. Based on the cost/benifit analyses, they will decide whether to intergrate other production processes or not.

• Journal of Internet Computing and Services
• /
• v.17 no.1
• /
• pp.47-53
• /
• 2016

A type of workflow affiliation network is one of the specialized social network types, which represents the associative relation between actors and activities. There are many methods on a workflow affiliation network measuring centralities such as degree centrality, closeness centrality, betweenness centrality, eigenvector centrality. In particular, we are interested in the closeness centrality measurements on a workflow affiliation network discovered from enterprise workflow models, and we know that the time complexity problem is raised according to increasing the size of the workflow affiliation network. This paper proposes an estimated ranking algorithm and analyzes the accuracy and average computation time of the proposed algorithm. As a result, we show that the accuracy improves 47.5%, 29.44% in the sizes of network and the rates of samples, respectively. Also the estimated ranking algorithm's average computation time improves more than 82.40%, comparison with the original algorithm, when the network size is 2400, sampling rate is 30%.

• Journal of the Korean Society for Library and Information Science
• /
• v.51 no.4
• /
• pp.77-97
• /
• 2017

A recent sharp increase of the biomedical literature causes researchers to struggle to grasp the current research trends and conduct creative studies based on the previous results. In order to alleviate their difficulties in keeping up with the latest scholarly trends, numerous attempts have been made to develop specialized analytic services that can provide direct, intuitive and formalized scholarly information by using various text mining technologies such as information extraction and event detection. This paper introduces and evaluates total 8 Convolutional Neural Network (CNN) models for extracting biomedical events from academic abstracts by applying various feature utilization approaches. Also, this paper conducts performance comparison evaluation for the proposed models. As a result of the comparison, we confirmed that the Entity-Type-Fully-Connected model, one of the introduced models in the paper, showed the most promising performance (72.09% in F-score) in the event classification task while it achieved a relatively low but comparable result (21.81%) in the entire event extraction process due to the imbalance problem of the training collections and event identify model's low performance.

• Journal of the Korean Society for information Management
• /
• v.24 no.3
• /
• pp.299-319
• /
• 2007

Recently, information portals, national institutions, and integrated information centers, which are eager to acquire quality contents, actively share contents. Korean national knowledge is recognized to be superior in terms of its specialty and reliability. Currently, the distribution of national knowledge in Korea is at the beginning stage as the content sharing was intended to enhance the users' accessibility to the information and ease of information use. In this study, we identified the national knowledge distribution status in Korea and abroad by analyzing the roles of the information providers, information search portals, and Korea Knowledge Portal. We also conducted in-depth interviews with six experts, who represent academic institutions, libraries, specialized information centers, and commercial ventures. To enable effective Korean national knowledge distribution, we generated suggestions for the respective information providing services to share and cooperate based on the analysis and tile Interviews.

• Journal of the Korean Regional Science Association
• /
• v.35 no.3
• /
• pp.33-44
• /
• 2019

Smart City is the regional innovation platform that actively utilizes information and communication technologies to diversify city services and improve the performance and quality, hence improving the quality of life and creating new trends of urban activities. Recently, the importance of citizen participation is increasingly emphasized to build smart cities successfully and the Living Lab, an open innovation platform led by users, is taking center stage as a means of realizing it. Accordingly, this study aims to establish the plans for popularizing living labs that provide innovative environments for domestic smart cities. To this end, first of all, political trends related to domestic smart cities' living labs were analyzed, and then, individual characteristics and development processes of the relevant cases were investigated. In addition, in-depth interviews were conducted with the experts of specialized agencies from Netherlands, Finland, and Denmark, etc. which are considered as leading countries in smart cities' living labs. As a result, in order to popularize living labs in domestic smart cities, the following policies were proposed; establishing support systems for commercialization and dissemination, building intermediary support organizations, improvement of laws and institutions, establishing the joint response systems with neighboring areas, etc.

• Asian Pacific Journal of Cancer Prevention
• /
• v.17 no.2
• /
• pp.655-660
• /
• 2016

Smoking is accountable for the fatality of a substantial number of persons and increases the likelihood of cancer and cardiovascular diseases. Although data have shown high prevalence rates of cigarette smoking in Saudi Arabia, relatively little is known about the broader scope. The objectives of this study were to investigate socio-demographic factors, patterns of use and cessation behavior associated with smoking in Saudi Arabia (KSA). The study utilized a cross-sectional, multi-step design of sampling. Residents (N=1,497; aged 15 years and older) were recruited from seven administrative areas in Southwest Saudi Arabia. A pretested questionnaire was utilized to obtain data on participant cigarette smoking, including their daily use, age, education, income, marital status and employment status. The current study is the first of its kind to gather data cessation behavior of Saudi subjects. With the exception of 1.5% females, all the respondents were male. The majority of the respondents were married, had a university level of education, were employed, and were younger than 34 years old. The same trends were also observed among smokers' samples. The current prevalence of cigarette smoking was 49.2% and 65.7% of smokers had smoking at less than 18 years of age. The mean daily use amongst smokers was 7.98 cigarettes (SD=4.587). More than 50% of the study sample had tried at least once to quit smoking. However, 42% of the smokers participating had never. On the other hand, about 25% of the respondents were willing to consider quitting smoking in the future. Modeling of cigarette smoking suggested that the most significant independent predictors of smoking behavior were geographic area, gender, marital status, education, job and age. Considerable variation in smoking prevalence was noted related with participant sociodemographics. Findings recommend the necessity for control and intervention programs in Saudi community.

• Journal of the Korean Society for information Management
• /
• v.34 no.4
• /
• pp.81-99
• /
• 2017

Technical documents are important research outputs generated by knowledge and information society. In order to properly use the technical documents properly, it is necessary to utilize advanced information processing techniques, such as summarization and information extraction. In this paper, to extract core information, we automatically extracted the terminologies and their definition based on definitional sentences patterns and the structure of technical documents. Based on this, we proposed the system to build a specialized terminology dictionary. And further we suggested the personalized services so that users can utilize the terminology dictionary in various ways as an knowledge memory. The results of this study will allow users to find up-to-date information faster and easier. In addition, providing a personalized terminology dictionary to users can maximize the value, usability, and retrieval efficiency of the dictionary.

• The Journal of Industrial Distribution & Business
• /
• v.11 no.6
• /
• pp.41-53
• /
• 2020

Purpose: The purpose of this study is to review the previous studies on the characteristics of the image search service provided by using artificial intelligence, the social impact characteristics, and the moderating effect of perceived anthropomorphism, and conduct empirical analysis to identify the constituent factors affecting purchase intention. To clarify. Through this, I tried to present theoretical and practical implications. Research design, data, and methodology: Research design was that characteristics of image search service (ubiquity and information quality) and social impact characteristics (subjective norms, electronic word of mouth marketing) are affected by mediation of satisfaction and flow, therefore, control of perceived anthropomorphism have an effect on purchase intention to increase. For analysis, research conducted literature review, and developed questionnaires, so that EM firm which is a specialized research institute has collected data. This was conducted on 410 people between the 20s and 50s who have mobile shopping experiences. SPSS Statistics 23 and AMOS 23 had been used to perform necessary analysis such as exploratory factor analysis, reliability analysis, feasibility analysis, and structural equation modeling based on this data. Results: first, ubiquity, information quality and subjective norms were found to have a positive effect on purchase intention through satisfaction and flow parameters. Second, satisfaction and flow were found to have a mediating effect between ubiquity, information quality, and subjective norms and purchase intentions. However, there was no mediating effect between eWOM information and purchase intention. Third, perceived anthropomorphism was found to have a moderating effect between information quality and satisfaction, and it was found that there was no moderating effect on the relationship between information quality and flow. Conclusions: The information quality of image search services using artificial intelligence has a positive effect on satisfaction, and it has been found that there is a positive moderate effect of perceived anthropomorphism in this relationship, which may be an academic contribution to the distribution science utilizing artificial intelligence. Therefore, it is possible to propose a distribution strategy that improves purchase intention by utilizing image search service and anthropomorphism in practical business and providing a more enjoyable immersive experience to customers.

• Journal of the Korean Society for information Management
• /
• v.37 no.2
• /
• pp.145-169
• /
• 2020

The purpose of this study is to find the cause and solution of the situation where library LOD does not spread after the introduction of library LOD. Research methods include literature research, case studies, and expert interviews. The improvement plan presented in this study is that first, the library needs to avoid the redundancy of the LOD construction target and build the only and specialized data. Second, libraries need to develop LOD services that reflect user needs and implement convenient LOD interfaces. Third, libraries need to establish identification system of data and build a authority file. Fourth, libraries need to recognize the necessity of data opening and linking to librarians and users, and provide opportunities for education and publicity. Fifth, it is necessary to use LOD for integrated search and to establish an integrated platform for search of library LOD. Sixth, libraries need to strengthen cooperation for LOD issuance and utilization, and form a working-level consultative body. Seventh, the government should pursue strong policies with a continuous commitment to LOD promotion and need to continue to provide budget support.