• 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.

• Proceedings of the Korea Contents Association Conference
• /
• 2009.05a
• /
• pp.1191-1194
• /
• 2009

Scholarly information service is compared with internet portal services for object of use, information attributes and target users. It is not popular service, so scholarly information service providers need to have distinguished marketing strategy. KISTI service development team has performed on-site training for end users in major customer institutions in 2008. This study shows the effect of scholarly information service on-site training and user's preference of service promotion in specialized information service field.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.21 no.11
• /
• pp.2167-2175
• /
• 2017

In recent years, an IoT is dramatically developing according to the enhancement of AI, the increase of connected devices, and the high-performance cloud systems. Huge data produced by many devices and sensors is expanding the scope of services, such as an intelligent diagnostics, a recommendation service, as well as a smart monitoring service. The studies of edge computing are limited as a role of small server system with high quality HW resources. However, there are specialized requirements in a smart factory domain needed edge computing. The edges are needed to pre-process containing tiny filtering, pre-formatting, as well as merging of group contexts and manage the regional rules. So, in this paper, we extract the features and requirements in a scope of efficiency and robustness. Our edge offers to decrease a network resource consumption and update rules and learning models. Moreover, we propose architecture of edge computing based on learning factors sharing with a cloud system in a smart factory.

• Journal of Korean Library and Information Science Society
• /
• v.47 no.4
• /
• pp.19-42
• /
• 2016

The basic identity of the National Library of Korea(Sejong), opened in December 2013, is the specialized library focused on policy information service. Nevertheless, the library is not unfaithful to its identity. So researchers surveyed and analyzed the perception of the basic identity and role, utilization and satisfaction degress of various services, need and use for policy information and policy information service, and strategic and focused initiatives from stakeholders such as public officials, government-supported researchers, citizens living in Sejong city, and employees who work in the NLK(S). As a result, researchers suggested various strategies to expand the organizational size, to strengthen acquisition of domestic and foreign policy information, and to enhance national policy information service for related groups' satisfaction and dependence of policy information service for the NLK(S).

• Korean Journal of Adult Nursing
• /
• v.26 no.6
• /
• pp.630-641
• /
• 2014

Purpose: The purpose of current study was to explore the positive outcomes of advanced practice nurse who have experienced the roles in their clinical settings. Methods: This study adopted a qualitative research design based on conventional content analysis. Participants were 16 nurse practitioners have been worked at hospitals or community centers. Data were collected via focus group interviews and analyzed using thematic analysis method. Results: Patients' aspect outcomes were "client-centered care in providing continuity", "providing trust based on expertise", "promoting skilled intervention in patient recovering", "blocking the negative consequences", "quality improvement: nursing becoming tighter", "providing total care for cases that require intensive care", "improving patients outcomes by total management", "increasing confidence in evidence-based professional nursing", "rising the satisfaction by cost-effective services", "providing skilled professional practice", and "providing comprehensive care related to covering various aspects". Other themes elicited also included "promoting efficacy by inter-related health professions supervising", "the expansion of specialized practice areas increase business efficiency", "formation of outside customers due to increasing the satisfaction with skilled nursing care", "filling in the emptying spaces of doctors by practicing reliable role to bridge", "attracting external customers through successful management of subjects", "increasing staff's satisfaction on the role to make a bridge between inside and outside doctors", "24 hours medical expertise of professional staff ready secured", and "low cost, same results, that is, cost-effective" in reference to health care resources aspect. Conclusion: These findings suggested that advanced practice nurses perceived various positive outcomes and provided basic data for outcome indicators of advanced practice nurses' role.

• Journal of the Korean Geographical Society
• /
• v.47 no.2
• /
• pp.268-281
• /
• 2012

In spite of the usefulness of migration statistics in spatially understanding social processes and identifying social effects of spatial processes, services and analyses of the statistics have been restricted due to the complexity of their data structure. In addition, flow mapping functionality which is a useful method to explore and visualize the migration statistics has yet to be fully represented in modern GIS applications. Given this, the purpose of this research is to demonstrate the possibility of flow mapping and the exploratory spatial analysis of the migration statistics in a Web GIS environment. For this, the characteristics of the statistics were examined from database, GIS, and cartographic perspectives. Then, O-D structure of the migration statistics was converted to spatial data appropriate to f low mapping based on the characteristics. The interface of Web GIS is specialized the migration statistics and provides exploratory visualization by allowing dynamic interactions such as spatial focusing and attribute filtering.

• Journal of the Korean Society for Library and Information Science
• /
• v.41 no.1
• /
• pp.345-372
• /
• 2007

In this study, the intellectual structure of Records Management & Archival Science in Korea was analyzed using document clustering, a widely used method of text mining, and document similarity network analysis. The data used in this study were 145 articles written on the subject of Records Management & Archival Science selected from five major representative journals in the field of Library & Information Science in Korea, published from 2001 to 2006. The results of cluster analysis show that the core subject areas are "electronic records management and digital Preservation," "records management policy and institution," "records description and catalogues." and "records management domain and education." The results of document analysis, which is more detailed than cluster analysis, show that "digital archiving," a specialized subject in digital preservation, plays a central role. The results of serial analysis, which proceeds according to a timeline, show the emergence of "archival services" as a new subject area.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.13 no.2
• /
• pp.1-7
• /
• 2013

Big data management is becoming increasingly important in both industry and academia of information science community. One of the important categories of big data generated from software systems is log data. Log data is generally used for better services in various service providers and can also be used as information for qualification. This paper presents a big data management architecture specialized for log data. Specifically, it provides the aggregation of log messages sent from multiple clients and provides intelligent functionalities such as analyzing log data. The proposed architecture supports an asynchronous process in client-server architectures to prevent the potential bottleneck of accessing data. Accordingly, it does not affect the client performance although using remote data store. We implement the proposed architecture and show that it works well for processing big log data. All components are implemented based on open source software and the developed prototypes are now publicly available.