• Journal of the Korean Society for information Management
• /
• v.29 no.1
• /
• pp.231-251
• /
• 2012

In this study, Linked Data was used for extending bibliographic data, because Linked Data provides shareable identifiers, data structures, and link information. Linked Data is especially efficient in expanding bibliographic data integrated with bibliographic ontology. Therefore, Linked Data and bibliographic ontologies were analyzed and available Linked Data was suggested. By linking between meta-data schemes, bibliographic data, and authority data, issues for the effective Linked Data sharing were suggested: 1) selecting proper Linked Data for each bibliographic organization, 2) linking between different Linked Data, and 3) developing their own Linked Data for each bibliographic organization.

• Journal of Korean Library and Information Science Society
• /
• v.47 no.4
• /
• pp.219-239
• /
• 2016

In this study, we analyzed the effects of how self-efficacy and organizational culture affect the knowledge sharing that facilitates team performance. Data was collected through a survey of 126 employees who work for A company and was analyzed using confirmatory factor analysis and structural equation modeling. Independent variables in this study included self-efficacy, sharing culture, openness, and competition culture. Latent variable was knowledge sharing. Dependent variable was team's performance. The results of analysis of structural equation modeling showed that self-efficacy, competition culture, and sharing culture were found to have both direct and indirect impacts on team's performance. However, openness was not statistically significant in the effect on knowledge sharing and team's performance. The implications of these factors will be used to develop knowledge sharing strategies that facilitates team performance.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.22 no.3
• /
• pp.447-461
• /
• 2012

A social network service(SNS) is gaining popularity as a new real-time information sharing mechanism. However, the user's privacy infringement is occurred frequently because the information that is shared through a social network include the private information such as user's identity or lifestyle patterns. To resolve this problem, the research about privacy preserving data sharing in social network are being proceed actively. In this paper, we proposed the efficient scheme for privacy preserving data sharing in social network. The proposed scheme provides an efficient conjunctive keyword search functionality. And, users who granted access right to storage server can store and search data in storage server. Also,, our scheme provide join/revocation functionality suited to the characteristics of a dynamic social network.

• 한국공간정보시스템학회:학술대회논문집
• /
• 2002.03a
• /
• pp.29-37
• /
• 2002

지난 수십년간 GIS(Geographic Information System) 분야에서는 소프트웨어의 비약적인 발전과 더불어 광대한 양의 공간데이터 구축이 이루어졌다. 이러한 공간데이터는 분산되어 있으며 지리정보 응용시스템의 특정 포맷으로 동일한 지역과 데이터로 중복 구축되어 비용의 낭비뿐만 아니라 신규 구축 시 필요한 시간 및 인력의 낭비를 가져오고 있다. 이를 방지하기 위하여 이기종간 분산되어 있는 공간데이터를 공유 및 관리하기 위한 메타데이터 구축이 절실히 요구되어 국제표준단체(ISO/TC 211)를 통한 메타데이터 표준이 진행되고 있으며 국내의 경우 한국전산원을 주도로 이루어지고 있다. 본 연구는 국제 표준화 동향에 발맞춰 현재 진행되고 있는 국내 메타데이터 표준의 동향을 살펴보고 이를 기반으로 생성된 국내 표준 DTD 및 XML을 이용한 실제 응용사례를 분석하였다. 본 연구를 통하여 향후 분산된 공간데이터의 관리 및 공유를 위한 메타데이터의 효율적인 구축을 할 수 있다.

• The Korean Journal of Applied Statistics
• /
• v.14 no.2
• /
• pp.261-271
• /
• 2001

정보 공유와 비즈니스 수행 등의 매체로서 World Wide Web의 이용이 보편화됨에 따라 다양하고 방대한 데이터를 웹을 통하여 얻을 수 있게 되었으며, 이러한 데이터로부터 유용한 정보를 추출하기 위한 데이터 분석과 활용은 많은 분야에서 중요한 사안으로 인식되고 있다. 본 연구에서는 웹 로그(web log)데이터로부터 정보를 추출하기 위한 과정 및 방안에 대해 살펴보고자 한다. 로그 데이터의 특징과 통계 데이터와의 차이점, 데이터 수집 및 사전 처리 과정, 추출할 수 있는 정보 및 분석 방법 등을 제시하고 로그 데이터 분석 예제를 제시한다.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.34 no.3
• /
• pp.109-134
• /
• 2023

The purpose of this study is to identify the current status of institutional research data repositories in the field of science and technology and to suggest ways to activate them. The study conducted literature research, case analysis, and interviews with repository managers both domestically and internationally. The study suggested strategies with a focus on establishing repository regulations and policies, improving awareness of research data sharing, and enhancing research data quality management. First, in terms of repository regulations and policy establishment, it was considered necessary to promote the status of the National R&D Information Processing Standards, a regulation related to research data, and clarify repository basis regulations. Second, to enhance awareness of research data sharing, the need for comprehensive research data education and the identification of exemplary cases were suggested. Third, in terms of strengthening research data quality management, the need for preparation for interaction between researchers-persons in charge-committees, standardization work, and long-term preservation was suggested.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
• /
• v.7 no.6
• /
• pp.851-859
• /
• 2017

Today, with the advent and development of Social Network Service (SNS), various types of information that have been difficult to observe have been pouring out. Recently, Vertical Social Networking Service (SNS), a service that shares specific interests with users' Vertical Social Networking Service) is emerging as a major research area. Especially, various human, social and spatial characteristics can be observed through geolocation data and social data collected through mobile GPS, and it is used in various studies. In this study, we analyze the social data collected through the image - based vertical SNS Instagram, and measure the user 's experience based on the social media based on the user' s spatial context. Therefore, in this study, we investigate what types of spatial patterns exist between experiential elements of sharing experiences and geographical characteristics through social data, and examine a new model of shared experience structure through extracted data.

• Journal of Korean Library and Information Science Society
• /
• v.53 no.3
• /
• pp.241-262
• /
• 2022

The purpose of this study was to designed the structure and elements of metadata that can manage and share research data produced in the food composition database. In order to derive metadata elements, mapping crosswalk was performed on 5 metadata such as DCAT, DataCite metadata schema 4.4, TTAK.KO-10.0976, AgMES, and FoodData Central. As a result of the study, the top 15 elements of the 'Resource information' metadata were derived, and 7 mendatory, 3 recommended and 5 optional elements, and the 'Composition analysis' metadata included 8 mendatory, 3 recommended and 1 optional element were derived to describe food composition research data, respectively. The derived metadata elements will be used as an item for systematic management of food composition data and can be used as basic data for sharing with domestic and international food composition databases.

• Broadcasting and Media Magazine
• /
• v.19 no.4
• /
• pp.50-59
• /
• 2014

사용자들이 미디어를 접하는 디바이스 환경이 다양화되고 그 속에서 접할 수 있는 콘텐츠의 양은 많아졌다. 특히 급속도로 발전한 모바일 환경에서 사용자들은 개인화된 기기를 사용하여 콘텐츠를 소비하고 주변 사용자들과 경험을 공유한다. 콘텐츠 제공 서비스에서는 이러한 개인의 콘텐츠 소비 이력 및 SNS 관계에서 발생한 데이터를 분석하여 활용함으로써 콘텐츠 소비를 활성화하고자 한다. KBS에서도 이러한 동향에 맞추어 방송콘텐츠 추천검색 연구와 실시간 TV캡처 및 소셜 공유 연구를 진행하였으며, 그 과정에서 많은 양의 데이터를 효율적으로 처리하기 위한 방법의 필요성을 절감하게 되었다. 데이터 분석이 필요한 두 과제에서 진행한 내용을 기술하고 대용량 데이터 처리기법을 활용하여 상용화 서비스를 구축할 계획을 소개한다.

• Journal of Internet Computing and Services
• /
• v.17 no.5
• /
• pp.151-160
• /
• 2016

The purpose of this research is to investigate Korean popular attitudes and social perceptions of 'sharing economy' terminology at the current moment from a creative or socio-economic point of view. In Korea, this study discovers and interprets the objective and tangible annual changes and patterns of sociocultural collective intelligence that have taken place over the last five years by applying text mining in the big data analysis approach. By crawling and Googling, this study collected a significant amount of time series web meta-data with regard to the theme of the sharing economy on the world wide web from 2010 to 2014. Consequently, huge amounts of raw data concerning sharing economy are processed into the value-added meaningful 'word clouding' form of graphs or figures by using the function of word clouding with R programming. Till now, the lack of accumulated data or collective intelligence about sharing economy notwithstanding, it is worth nothing that this study carried out preliminary research on conducting a time-series big data analysis from the perspective of knowledge management and processing. Thus, the results of this study can be utilized as fundamental data to help understand the academic and industrial aspects of future sharing economy-related markets or consumer behavior.