• Journal of the Korea Society of Computer and Information
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• v.17 no.11
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• pp.117-123
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• 2012

Smart devices are great tool to get a lot of information of user by variety sensors, application, web. The information is good clue to seize pattern of user. So, we can expect that customized content-service will be possible based on utilizing information of user. This expectation alters the type of content-service from just providing lots of contents to smart devices to recommendation contents which wanted, needed, favorite looking by user. For this customized content-service, a system model like a curator in galleries or museums is required. So, in this paper, we suggest Intelligent Contents Curation(ICCuration) model which has 3 sub modules with sensing, analysis and filtering information of user. The collected information of user are processed up to scenarios and the scenario is a clue for selecting contents which will be recommended to users. In the scenario has user's preferences and behaviors as well as devices informations as elements. So, contents can be optimized not only domain category but type of media for devices.

• Journal of Korean Society of Archives and Records Management
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• v.16 no.3
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• pp.235-256
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• 2016

This study suggested a digital curation framework for supporting the digital policy of institutes that collect memory. As such, it conducted a literature review and an analysis of digital curation models, as well as a focus-group interview of historians and graduate students majoring in historical studies. In this study, digital curation framework refers to an abstract model for supporting policy development and the planning for a high-level view of the archival information service. This implications of this framework are as follows: (1) to emphasize the data life cycle and connection between stages and actions; (2) to make an infra-schema for understanding institutes that create, arrange, or store specific data as the same history contents have to be provided by different institutes and as there are differences in the data's value; (3) to check the present conditions of information services and their systems; (4) to consider the practical applications of contents that have been collected and stored; and (5) to converge all data in one system through the framework and activate diverse works in the context of the framework.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.31 no.2
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• pp.53-70
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• 2020

This study was intended to present the need for building the library as a hub of the community memory preservation which provides the collection, sharing, and curation services of the locality specific historical and local data based on the policy task, namely supporting the collection, preservation, and management system of the community's life memory. To this end, the current status of data collection, management, and operation of institutions serving regional-based materials such as cultural centers and regional archives was grasped, and the cases and status of curation services in libraries were investigated and analyzed. The discussion proposed via the results of the study are as follows. First, to the culture center, external demand has been increased from the aspect of social education including festivals, cultural and art event, cultural and art educational business, art activities business of local residents and managerial business is to be carried out, which makes it difficult for the culture center to manage its businesses. Accordingly, it is necessary to collect and preserve regional various data at the pubic libraries playing various roles including provision of informative services, cultural programs and information sharing places to local residents and provision of services to vulnerable social group. As the existing libraries have a plan to collect data systematically, it is considered that those libraries will smoothly operate the data management through cooperation with existing culture centers and various cultural organizations. Second, it appears that a plan will be needed to set up all the data including the ones owned by libraries, local administrative agencies, individuals and other competent agencies in online database so that they are easily available to the public and always available in the libraries because there are a lot of data which cannot be moved to other place and it is actually difficult to concentrate and set up all the data to those libraries.

• The Journal of the Korea Contents Association
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• v.21 no.7
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• pp.134-143
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• 2021

Recently, with the development of mobile devices and social media services, contents recommendation schemes have been studied. They are typically applied to the job curation systems. Most existing university education content recommendation schemes only recommend the most frequently taken subjects based on the student's school and major. Therefore, they do not consider the type or field of employment that each student wants. In this paper, we propose a university educational contents recommendation scheme for job curation services. The proposed scheme extracts companies that a user is interested in by analyzing his/her activities in the job curation system. The proposed scheme selects graduates or mentors based on the reliability and similarity of graduates who have been employed at the companies of interest. The proposed scheme recommends customized subjects, comparative subjects, and autonomous activity lists to users through collaborative filtering.

• Information and Communications Magazine
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• v.32 no.11
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• pp.12-20
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• 2015

최근 의학 기술이 눈부시게 발전함에 따라 사람들은 수명이 연장되고 삶의 질 향상에 많은 관심을 가지게 되었다. 더욱이 혁신적인 디지털 기술 발전과 함께 다양한 웨어러블 기기와 수많은 헬스케어 어플리케이션이 출시되고 있으며, 이들은 어떻게 하면 개인의 성향이나 체질에 잘 맞는 맞춤형 (개인화) 서비스를 제공할 수 있을 것인가에 관심을 두고 진화하고 있다. 따라서 IoT 환경의 일상생활에서 입력되는 센서 데이터의 수집, 처리, 가공 기술, 일상 행위 및 라이프 스타일 인지, 지식 획득 및 관리 기술, 개인화 추천서비스 제공, 프라이버시 및 보안을 통합적으로 지원할 수 있는 프레임워크 개발에 대한 요구가 증대되고 있다. 이에 본 고에서는 저자가 개발중인 개인 맞춤 건강 및 웰니스 서비스를 제공하는 마이닝 마인즈 프레임워크를 소개한다. 마이닝 마인즈는 현존하는 최신 기술의 집약체로 개인화, 큐레이션, 빅 데이터 처리, 클라우드 컴퓨팅의 활용, 다양한 센서 정보의 수집과 분석, 진화형 지식의 생성과 관리, UI/UX를 통한 습관화 유도 등 다양한 요소를 포함한다. 그리고 건강 및 웰니스 프레임워크 요구사항 분석을 통해 마이닝 마인즈가 이러한 요구를 충족시킬 수 있으며, 개발된 프로토타입을 통해 개인화 서비스의 발전 가능성을 입증하고 향후 나아가야 할 방향을 제시한다.

• Journal of the Korean Society for information Management
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• v.36 no.3
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• pp.61-80
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• 2019

This study aimed to develop Research Data Management (RDM) Services in a domestic university library of Korea. In this study, elements and levels of RDM services are examined and in-depth interview was conducted with university researchers affiliated in Seoul National University, which has the largest amount of research fund among universities in Korea. Interview was conducted to analyze their data management practices and needs of RDM services. Interview results show researchers' lack of awareness toward Data Management Policy and data sharing obligations of funding agencies and academic journal publishers. Also, they had trouble managing research data systematically. However, many of the researchers understand the necessary of research data management and education of data management. Based on the interview result, service elements and contents are suggested for RDM services which is consisted of education services, professional consulting services, curation technical services. This study result will help to guide for the planning the future RDM service in university library of Korea.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.154-157
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• 2016

최근 스마트폰의 보급과 더불어 근거리 무선 통신의 발달로 인해 다양한 서비스들이 연구 개발되고 있다. 한국에 방문하는 외래 관광객 수는 꾸준히 증가하고 있는 추세이며, 이 중 중국인 관광객은 2013년 기준 전체 방한 외국인 관광객 중 약 35.5%를 차지하였다. 중국인 관광객의 82.8%가 쇼핑을 목적에 두고 있으며, 그 중 향수, 화장품, 의류 항목에 가장 많은 여행시간을 투자하고 있다. 또한 방한 중국인 관광객 중 대다수가 인터넷을 사용하여 관광 정보를 입수 하고 있지만, 이러한 정보를 편리하게 제공할 서비스는 부족한 상황이다. 본 논문에서는 현재 발달되고 있는 근거리 무선 통신 중 NFC와 Beacon을 활용하여 안드로이드 기반의 관광 큐레이션 플랫폼을 구현 하였다. NFC 태그를 활용하여 쇼핑, 관광 관련 정보 및 정확한 제품 및 서비스 정보를 제공하고, Beacon을 이용하여 매장정보 및 각종 마케팅 프로모션과 이벤트 정보를 수신하도록 하였다. 추가적으로 현재 많이 사용되고 있는 Zxing 라이브러리를 활용한 QRCode 및 Barcode 리더기를 활용하여 스캔을 통한 제품 정보를 확인 가능하도록 구현하였다.

• Journal of the Korean Society for information Management
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• v.39 no.4
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• pp.269-306
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• 2022

This study aimed to develop indicators that can measure the digital transformation performance of science and technology information construction and sharing systems by utilizing the Digital Curation Maturity Models. For digital transformation, it is necessary to consider not only simple service improvement but also organizational and business changes. In this study, we aimed to develop a model for measuring the digital transformation of KISTI, Korea's representative science and technology information service organization. KISTI has already carried out BPR work for digital transformation and borrowed the concept of a maturity model. However, in BPR, there is no method to measure the result. Therefore, in this paper, we developed an index to measure digital transformation based on the maturity model. Indicator development was carried out in two ways: model development and evaluation. Cases for model construction were made through a comprehensive review of existing KISTI and various domestic and foreign cases. The models before verification were technology (37), data (45), strategy (18), organization (36), and (social)influence (14) based on the major categories. After verification using confirmatory factor analysis, the model is classified as technology (20 / 17 indicators dropped), data (36 / 9 indicators dropped), strategy (18 / maintenance), organization(30 / 6 indicators dropped), and (social) influence (13 indicators / 1 indicator dropped).

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.6
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• pp.658-663
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• 2018

In this paper, a performance evaluation algorithm of contents curation platform is proposed. The evaluation starts with setting the initial-final conditions, and measures four performance evaluation parameters. These parameters are response rate of service, accuracy of response result, precision of analysis result, and recall rate of analysis result. To verify the effectiveness of the proposed algorithm, a database of 118,738 cases was constructed and the contents was opened on the Internet. In this experiment, 6,975,365 pageviews were applied to analysis user behavior. Through the measurement of four parameters, it was confirmed that the integrated and unit evaluation of content curation platform can be performed objectively.

• The Journal of the Korea Contents Association
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• v.16 no.12
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• pp.181-191
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• 2016

We analyzed the search word of the media content in the IPTV service, and as a result we found that an important factor is general meta information as well as content(material, plot, etc.) and emotion information in the media content selection criteria of customers. Therefore, in this research, in order to efficiently provide various media contents of IPTV to users, we designed the emotion classification system for utilizing the emotion information of the media content. Next, we proposed 'personalized media contents curation system based on emotion information' for organizing the media contents, through the various processing steps. Finally, to demonstrate the effectiveness of this system, we conducted a user satisfaction survey(72.0 points). In addition, the results of comparing the results based on popularity and the results of the proposed system showed that the ratio leading to the actual users' viewing behavior was 10 times higher.