• Journal of the Korean BIBLIA Society for library and Information Science
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• v.34 no.1
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• pp.121-143
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• 2023

This study was conducted with the aim of identifying the current status of the national authority data construction project centered on the National Library of Korea for the effective construction and utilization of national knowledge information resources. It also aimed to reveal the possibility and improvement of the national information system with the international standard identification system, and suggesting future development plans. To this end, this study conducted interviews and questionnaires with members of the Korean National Authority Data Sharing System(KNASS). The survey consisted of items related to the current status and difficulties related to the authority, the use of the KNASS, the recognition and utilization of identifiers, the awareness and utilization of the linkage with ISNI, the Importance-Performance Analysis for activating the KNASS, and the overall satisfaction and improvement direction. As a result of the analysis, it was proposed to develop rules and guidelines related to the authority works, to increase the quantity and quality of authority data, to raise understanding of the importance and establish a efficient work system, to diversify the authority service and develop a utilization model, to link the KNASS with international identifiers, and to share the necessity of the KNASS.

• Journal of Korean Library and Information Science Society
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• v.54 no.2
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• pp.131-154
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• 2023

This study analyzed the effectiveness of visiting reading programs for vulnerable children, focusing on the case of libraries in A-si, Gyeonggi-do. Library A utilized a visiting teacher to deliver books that matched the children's levels and interests through non-face-to-face interactions, or to engage in face-to-face reading sessions and deliver books together. In 2022, a total of 158 individuals from 103 families participated in the program, with 103 individuals from 67 families delivering books and 55 individuals from 36 families engaging in book reading activities. Pre- and post-project surveys were conducted to assess the reading effects, and interviews were conducted with the visiting teachers. The analysis revealed that the level and interest of the children during book delivery and reading sessions were identified, and the effects of reading books with high levels of interaction were significant. Infants who were able to easily acquire reading experiences according to their age exhibited better reading effects compared to elementary school students. The program aimed at the new participant group showed slightly greater effectiveness than the group of continuing participants. Furthermore, following the implementation of the program, improvements were observed in reading interest, reading attitude, reading environment, reading interaction, self-esteem, social skills, language ability, reading proficiency, self-directed learning ability, and library utilization rate.

• Management & Information Systems Review
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• v.31 no.4
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• pp.57-82
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• 2012

The purpose of the study is to suggest the measure for the improvement of job satisfaction and level of empowerment of sanatoriums' social workers by analyzing factors of empowerments' effect on the job satisfaction, and investigating level of empowerment and job satisfaction of social workers of sanatoriums for the elderly and the handicapped. The result of investigation and analysis on subjects of 420 social workers of sanatoriums for the elderly and the handicapped in Youngnam area for this is as follows: First, job characteristic that is empowerments' influence factor of sanatoriums' social workers is appeared in order of feedback, and function variety, and in organization characteristic is appeared in order of leadership, reward, and employee development. Second, level of empowerment that is recognized by sanatoriums' social workers is appeared a little higher than normal level and significance is appeared highest, and next are capability, self-determination ability, and influence. Third, features that showed significant difference with significance in general characteristic of sanatoriums' social workers were 'sex', 'marital status', and 'religion', and features that showed significant difference with capability were sex, age, marital status, academic background, and employment history. And features that showed significant difference with self-determination ability were sex, age, marital status, and employment history, and features that showed significant difference with influence were sex, age, employment history and types of facilities. Fourth, the whole average of job satisfaction of sanatoriums' social workers was 3.82 out of 5, which is generally high, features that showed significant difference statistically were age, marital status, academic background, employment history, and types of facilities. Thus, job satisfaction was appeared as high as 'more than age of thirty' in age, 'married' in marital status, 'under graduates of colleges' in academic background, and 'less than three years' in employment history. Fifth, as for factors that had influence on job satisfaction, the indirect effect with empowerment was appeared that had significant effect in organization characteristic, and had few effect in organization features. On these results, practical measures to increase job satisfaction of sanatoriums' social workers are as follows: First, political approach is required to standardize duty system(by various types of facilities and clients' characteristic) of social workers of sanatoriums for elderly and the handicapped, and help to do the role as professionals with giving better treatment and building self-respect by enough reward. Second, to suggest chances to perform the responsibility for the duty of the scenes by the regular supervision, establish regular supervision system of social workers of sanatoriums for the elderly and the handicapped, and the extension of duty to increase the functional varieties. Third, it is required to motivate to have self confidence for the work and to use potential ability with transforming leadership, and to have more chances of education for the self-development. To increase job satisfaction of sanatoriums' social workers who give direct services in sanatoriums for the elderly and the handicapped, more active and positive empowerment's level improvement is in need by improvement of empowerment for them.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.179-196
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• 2019

Recently, the "Smart Consumer" has been emerging. He or she is increasingly inclined to search for and purchase products by taking into account personal judgment or expert reviews rather than by relying on information delivered through manufacturers' advertising. This is especially true when purchasing cosmetics. Because cosmetics act directly on the skin, consumers respond seriously to dangerous chemical elements they contain or to skin problems they may cause. Above all, cosmetics should fit well with the purchaser's skin type. In addition, changes in global cosmetics consumer trends make it necessary to study this field. The desire to find one's own individualized cosmetics is being revealed to consumers around the world and is known as "Finding the Holy Grail." Many consumers show a deep interest in customized cosmetics with the cultural boom known as "K-Beauty" (an aspect of "Han-Ryu"), the growth of personal grooming, and the emergence of "self-culture" that includes "self-beauty" and "self-interior." These trends have led to the explosive popularity of cosmetics made in Korea in the Chinese and Southeast Asian markets. In order to meet the customized cosmetics needs of consumers, cosmetics manufacturers and related companies are responding by concentrating on delivering premium services through the convergence of ICT(Information, Communication and Technology). Despite the evolution of companies' responses regarding market trends toward customized cosmetics, there is no "Intelligent Data Platform" that deals holistically with consumers' skin condition experience and thus attaches emotions to products and services. To find the Holy Grail of customized cosmetics, it is important to acquire and analyze consumer data on what they want in order to address their experiences and emotions. The emotions consumers are addressing when purchasing cosmetics varies by their age, sex, skin type, and specific skin issues and influences what price is considered reasonable. Therefore, it is necessary to classify emotions regarding cosmetics by individual consumer. Because of its importance, consumer emotion analysis has been used for both services and products. Given the trends identified above, we judge that consumer emotion analysis can be used in our study. Therefore, we collected and indexed data on consumers' emotions regarding their cosmetics experiences focusing on consumers' language. We crawled the cosmetics emotion data from SNS (blog and Twitter) according to sales ranking ($1^{st}$ to $99^{th}$), focusing on the ample/serum category. A total of 357 emotional adjectives were collected, and we combined and abstracted similar or duplicate emotional adjectives. We conducted a "Consumer Sentiment Journey" workshop to build a "Consumer Sentiment Dictionary," and this resulted in a total of 76 emotional adjectives regarding cosmetics consumer experience. Using these 76 emotional adjectives, we performed clustering with the Self-Organizing Map (SOM) method. As a result of the analysis, we derived eight final clusters of cosmetics consumer sentiments. Using the vector values of each node for each cluster, the characteristics of each cluster were derived based on the top ten most frequently appearing consumer sentiments. Different characteristics were found in consumer sentiments in each cluster. We also developed a cosmetics experience pattern map. The study results confirmed that recommendation and classification systems that consider consumer emotions and sentiments are needed because each consumer differs in what he or she pursues and prefers. Furthermore, this study reaffirms that the application of emotion and sentiment analysis can be extended to various fields other than cosmetics, and it implies that consumer insights can be derived using these methods. They can be used not only to build a specialized sentiment dictionary using scientific processes and "Design Thinking Methodology," but we also expect that these methods can help us to understand consumers' psychological reactions and cognitive behaviors. If this study is further developed, we believe that it will be able to provide solutions based on consumer experience, and therefore that it can be developed as an aspect of marketing intelligence.

• Journal of Korean Society of Archives and Records Management
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• v.4 no.2
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• pp.76-90
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• 2004

There had been substantial demand for record management system with which to efficiently control the information circulation processes, involving accumulation of recorded materials, classification of information resources, and users access to them. It converged to a collaboration of Australian federation, and Sydney Records Centre and finally induced Australian Standard Records Management, commonly known as AS 4390. AS 4390 served later as a model for International Standard of Record Management. This paper introduces the current undertaking of Recordkeeping system development in Australia, which stems from the line of AS 4390 by analysing exhibited research approaches. The analysis includes the definition, regime of Recordkeeping system, design and implementing of guidelines of Recordkeeping System and information on metadata projects. It also highlights the necessity for standardization, as is the prime factor in promoting inter-linking of Tabularium on New Southwales State, CRS(Commonwealth Record Series), database system of Canberra National Archives and Australian Government Locator Service. From year 2005, as dictates, any record management system, serving public agency will be required to adapt Professional Archives Management System, which, by far, will enhance the inter-compatibility. In its application, the government need Thesaurus to eliminate possible redundancy in use of terminology and to promote correct usage of words.

• The Journal of Society for e-Business Studies
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• v.20 no.4
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• pp.209-225
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• 2015

Research and development projects in railroad domain are different from those in other domains in terms of their close relationship with laws. Some cases are reported that new technologies from R&D projects could not be industrialized because of relevant laws restricting them. This problem comes from the fact that researchers don't know exactly what laws can affect the result of R&D projects. To deal with this problem, we suggest a model for law retrieval system that can be used by researchers of railroad R&D projects to find related legislation. Input of this system is a research plan describing the main contents of projects. After laws related to the R&D project is provided with their rankings, which are assigned by scores we developed. A ranking of a law means its order of priority to be checked. By using this system, researchers can search the laws that may affect R&D projects throughout all the stages of project cycle. So, using our system model, researchers can get a list of laws to be considered before the project they participate ends. As a result, they can adjust their project direction by checking the law list, avoiding their elaborate projects being useless.

• 한국정보교육학회:학술대회논문집
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• 2010.08a
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• pp.15-18
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• 2010

As robots are proved to be effective in enhancing students' creativity and problem-solving abilities and satisfying various needs in special education for the gifted, many students participate in private education and after-school robot classes. However, it is difficult for students in the lower social economy class to use robots for their learning because of the high expense of robots. On this point, as a part of u-Learnng project, this research attempts to provide students in the lower social economy class with the opportunities to use robots for one year. At the end of the year, we will compare the experimental group and the control group in order to examine learning effects of using robots. Until now we have found many cases that show positive effects of the use of robots in students' learning.

• Information Systems Review
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• v.4 no.2
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• pp.191-208
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• 2002

In the area of new millennium of twenty first century, one of the urgent and critical research issues in commerce area is the regenerating of new business opportunities from the high value added perspectives. With this motivation, in this paper, we create new on-line e-businesses with the speed of lightning their affiliated supply, finance and business communities - which are involved in more and more tightly connected, open trading - we find that we need to deal with hundreds of business collaborative partners, millions of buyers and sellers while we have to face incompatible IT systems. Challenges of new business opportunities linking multi-enterprise data and processes cost effectively, reliably and securely in real time remains an open area in e-business. This challenge we shall describe as the problem of synchronization of multiple enterprise collaborative e-business opportunities (production related), value (finance related), business (operations related) in new business opportunity and infrastructure integrated all together over the off-line and online basis. It brings a new e-commerce opportunities infrastructure into this profitable challenge: by extracting and tracking new business information, new trends in the events of e-business processes. The transformation of the traditional commerce into this type of electronic based commerce can be interpreted as new Cultural Revolution. The revolution will be a new paradigm crossing over the geographical, and organizational zone, restructuring enterprise business process infrastructure.

• Journal of KIISE
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• v.42 no.1
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• pp.54-67
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• 2015

Nowadays, studies on the fusion of Semantic Web technologies are being carried out to promote the interoperability and value of sensor data in an IoT environment. To accomplish this, the semantic translation of sensor data is essential for convergence with service domain knowledge. The existing semantic translation technique, however, involves translating from static metadata into semantic data(RDF), and cannot properly process real-time and large-scale features in an IoT environment. Therefore, in this paper, we propose a technique for translating large-scale streaming sensor data generated in an IoT environment into semantic data, using real-time and parallel processing. In this technique, we define rules for semantic translation and store them in the semantic repository. The sensor data is translated in real-time with parallel processing using these pre-defined rules and an ontology-based semantic model. To improve the performance, we use the Apache Storm, a real-time big data analysis framework for parallel processing. The proposed technique was subjected to performance testing with the AWS observation data of the Meteorological Administration, which are large-scale streaming sensor data for demonstration purposes.

• The KIPS Transactions:PartB
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• v.15B no.1
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• pp.45-52
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• 2008

As the recent development of the IT services, there is a urgent need of effective diagnosis system to present appropriate solution for the complicated problems of breakdown control, a cause analysis of breakdown and others. So we propose an intelligent diagnosis system that integrates the case-based reasoning and the artificial neural network to improve the system performance and to achieve optimal diagnosis. The case-based reasoning is a reasoning method that resolves the problems presented in current time through the past cases (experience). And it enables to make efficient reasoning by means of less complicated knowledge acquisition process, especially in the domain where it is difficult to extract formal rules. However, reasoning by using the case-based reasoning alone in diagnosis problem domain causes a problem of suggesting multiple causes on a given symptom. Since the suggested multiple causes of given symptom has the same weight, the unnecessary causes are also examined as well. In order to resolve such problems, the back-propagation learning algorithm of the artificial neural network is used to train the pairs of the causes and associated symptoms and find out the cause with the highest weight for occurrence to make more clarified and reliable diagnosis.