• Journal of the Korean Society for Library and Information Science
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• v.56 no.1
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• pp.277-296
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• 2022

Despite the characteristics of public data with various potentials, few studies have been conducted on general users who lack an understanding of data as well as on expansion of the service uses. This study examined which digital-service-quality factors affect the intention to continue using public data services based on the expectation confirmation theory. As a result of the analysis, satisfaction partially mediated between expectation agreement and continued use intention for understandability and efficiency, which were combined as one factor, and completely mediated the relationship between perceived usefulness expectation agreement and continued use intention. It can be seen that the more the understanding and usefulness of the information provided by the service is satisfied, the higher the willingness to use it. Accordingly, it suggested adding an electronic bookmark function and the provision of online community for users to improve the overall quality of services. This study is significant in that it provided evidence on which part to focus on when designing electronic services from the point of view of general users.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.4
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• pp.251-266
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• 2013

By the progress of informatization, the data which is involved in the administration and public organizations are increased the requestion of the utilization. Nevertheless most of the agencies could not actively participate in sharing and opening the data to the public because of data quality problems. The purpose of this study is to verify the relationship for data quality, managerial and organizational factors which is to derive at the level of the organization's data quality management success factors suggested in previous studies, and the acceptance of the organization's quality management. The result identify that organizational factors, organization's data quality management encouragement and support, give effect data quality through the acceptance of data quality management. However, managerial factors was no effect the data quality management acceptance. This study than managerial approach when considering the quality control for the public organizations, in the early days of the current situation of a company-wide consensus was required, as well as directly to the level of quality factors affecting the quality of acceptance is presented to derive but has significance.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.33 no.3
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• pp.347-370
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• 2022

Most public library websites provide unstructured cultural program data, which cannot be produced and utilized systematically as bibliographic information. It is not sufficiently used in existing library big data research or cases, and there is a risk of disappearing when the website is reorganized or the person in charge is changed. This study developed a data schema that can be used in conjunction with bibliographic data by collecting and analyzing cultural programs and community service data produced in an unstructured manner and proposed to share and utilize public library cultural programs and community service data, and establish a library big data platform that can serve as an information channel between librarians who are cultural program planners. Library program data posted on the library website can be integrated and managed through the platform, securing continuity of work, and systematically managing and preserving the specialized service history of individual libraries.

• Journal of the Korean Society for information Management
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• v.32 no.2
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• pp.63-86
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• 2015

Big data refers to dataset whose size is beyond the ability of typical database software tools to capture, store, manage, and analyze. And now it is considered to create the new opportunity in every industry. The purpose of this study is to develop of big data services in public library for improved library services. To this end, analysed the type of library big data and needs of stockholders through the various methods such as deep interview, focus group interview, questionnaire. At first step, we defined the 16 big data service models from interview with librarians, and LIS professions. Second step, it was considered necessity, timeliness, possibility of development. We developed the final two services called on 'Decision Support Services for Public Librarians' and 'Book Recommendation Services for Users.'

• Journal of Industrial Convergence
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• v.17 no.4
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• pp.53-58
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• 2019

It is important to collect and analyze the data from the traffic accident analysis system and the National Statistical Office to reduce the traffic accident rate of the elderly, who are the weakest. In particular, it is more important to analyze the data in areas where the elderly population is large and where accidents occur frequently. This paper visualizes and analyzes the data of elderly traffic accidents that occurred in recent 5 years in the area where many elderly people live in Buyeo-gun. The elderly traffic accident type, accident area, and location data of the elderly can be useful for the improvement measures and related decision making to reduce the elderly traffic accidents.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.375-378
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• 2020

본 연구는 토지 보상비의 추정 모델 개발을 위해서 건설 CALS (Continuous Acquisition & Life-cycle Support) 시스템의 내부데이터와 개별공시지가 및 표준지 공시지가 등의 외부데이터, 그리고 개발된 추정 모델의 고도화를 위한 개별공시가 데이터를 기반으로 생성된 데이터를 활용하였다. 이렇게 수집된 3가지 유형의 데이터를 분석하기 위해서 기존 선형 모델 또는 의사결정나무 (Tree) 기반의 모델상 과적합 오류를 제거할 경우 매우 유용한 알고리즘으로 Decision Tree 기반의 Xgboost 알고리즘을 데이터 분석 방법론으로 토지 보상비 추정 모델 개발에 활용하였다. Xgboost 알고리즘의 고도화를 위해 하이퍼파라미터 튜닝을 적용한 결과, 실제 보상비와 개발된 보상비 추정 모델의 MAPE(Mean Absolute Percentage Error) 범위는 19.5%로 확인하였다.

• Journal of Korean Society of Archives and Records Management
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• v.22 no.2
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• pp.27-49
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• 2022

According to the amendment of the Enforcement Decree of the Public Records Management Act in 2020, an administrative information dataset record management plan will be enacted, and the National Archives of Korea plans to establish an integrated administrative information dataset management system to support it. However, there is no specific service plan that considers the characteristics of the datasets and the Management Reference Table. Therefore, this paper compared and analyzed the current status of dataset services at 14 domestic and foreign public data portals and archives websites, derived implications, and proposed 6 service plans applicable to the integrated administrative information dataset management system. This study's results will lead to utilizing the administrative datasets and the activation of services.

• Journal of KIBIM
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• v.13 no.3
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• pp.39-47
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• 2023

This study aims to introduce a model for enhancing community well-being through the utilization of public open data. To objectively assess abstract notions of residential satisfaction, text data from complaints is analyzed. By leveraging accessible public data, costs related to data collection are minimized. Initially, relevant text data containing civic complaints is collected and refined by removing extraneous information. This processed data is then combined with meaningful datasets and subjected to topic modeling, a text mining technique. The insights derived are visualized using Geographic Information System (GIS) and Application Programming Interface (API) data. The efficacy of this analytical model was demonstrated in the Godeok/Gangil area. The proposed methodology allows for comprehensive analysis across time, space, and categories. This flexible approach involves incorporating specific public open data as needed, all within the overarching framework.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.1014-1015
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• 2019

수도, 전기, 가스와 같은 공공서비스의 과금을 위하여 전통으로 행해진 방문 검침 방법은 오류 및 과금 방식의 한계가 있다. 수동적인 검침 방법을 극복하기 위하여 계량기를 디지털화하여 원격 검침이 가능한 시대로 발전되고 있다. 원격 검침으로 쌓여진 데이터를 분석하여 누수, 누전과 같은 비정상적 상황에 대한 감지가 가능하면 공공서비스 수요 관리 및 대책 정책 수립에 도움이 될 수 있다. 따라서 제안하고자 하는 방법은 세대별 공공서비스 사용량에 대하여 각 세대별 분석을 위하여 각 세대나 업소의 사용에 영향을 미치는 요인을 파악하고 비정상적 사용 감지에 대한 예측 모델을 구축하고자 한다.

• Proceedings of the Korean Society for Information Management Conference
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• 2014.08a
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• pp.209-212
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• 2014

본 연구는 한국 공공도서관의 소셜 미디어 마케팅이 실제로 어떤 효과를 나타내고 있는지를 실증적으로 검토하기 위해 수행되었다. 분석에는 공공도서관의 2012년 트위터 사용 데이터, 국가도서관 통계를 사용하였다. 트위터를 활용한 그룹과 활용하지 않은 그룹 간의 대출량 및 이용자량 변화에 대한 t검정, 트위터 활동 데이터와 대출량 및 이용자량 변화 간의 선형 회귀분석이 수행되었으며, 그 결과 두 분석 모두 유의한 결과를 도출하지 못하였다. 이를 기반으로 표본 문제, 트위터 계정 활용 문제, 성과 지표 문제를 제시하였다.