• Journal of Digital Convergence
• /
• v.19 no.11
• /
• pp.167-180
• /
• 2021

The purpose of this study is to present a framework of the MyData business ecosystem that shows a different pattern from the previous one by the MyData concept and to define the characteristics of actors participating in the ecosystem. Because MyData is an individual exercising sovereignty over his or her data, there is a characteristic that the individual participates as a key actor in the business. In other words, MyData Operators participate in the MyData business ecosystem to help individuals who own MyData, MyData creating business and MyData using business, among them, manage their own data. Therefore, this study conducts a case study of domestic and foreign MyData businesses to revitalize the domestic MyData industry. In particular, the business model of 45 cases of overseas MyData operators was analyzed and classified into 7 types of 4 groups. And through this, the importance of the role of MyData Operator in the MyData industry ecosystem is confirmed and a developmental ecosystem model is proposed.

• Proceedings of the Korean Information Science Society Conference
• /
• 2005.11b
• /
• pp.91-93
• /
• 2005

생물다양성은 육상 생태계, 해양과 기타 수생 생태계와 이들의 복합 생태계를 포함하는 모든 원천에서 발생한 생물체의 다양성을 알하며, 종내$\cdot$종간 및 생태계의 다양성을 포함한다. 지구상에 존재하는 생물이 매우 다양하듯이 생물다양성을 표현하는 데이터 또한 매우 다양하게 사용되고 있다. 본 논문에서는 먼저 생물다양성 데이터의 점보공유 및 교환을 위해 생물다양성 관련 국제기구에서 제안된 데이터 표준 및 데이터 교환 프로토콜을 알아보고, 이러한 데이터 표준과 프로토콜을 기반으로 국내 생물다양성 데이터 공유 및 교환을 위한 생물다양성 메타데이터 스키마를 크게 생물종 정보와 종정보에 관한 참조(reference) 정보로 나누어 설계하여 제시하고자 한다.

• Korean Journal of Ecology and Environment
• /
• v.53 no.4
• /
• pp.380-389
• /
• 2020

Research on diagnosing and predicting the response of ecosystems caused by environmental changes such as artificial disturbance and climate change is emerging as the most important issue of biodiversity and ecosystem researches. This study aims to clean, standardize, and provide the results of National Ecosystem Survey which should be considered fundamentally in diagnosing and predicting ecosystem changes in the form of dataset. To refine and clean the dataset we developed a simple verification program based on the fifth National Ecosystem Survey Guideline and applied that program to the data from the second (1997~2005), third (2006~2013) and fourth (2014~2018) National Ecosystem Survey. Data quality control processes were implemented including (1) standardization of terminology, (2) similar data table integration, (3) unnecessary attribute and error elimination, (4) unification of different input items, (5) data arrangement in codes, and (6) code mapping for input items. These approaches and methods are the first attempt propose an option for ecological data standardization in Korea. The standardized dataset of National Ecosystem Survey in Korea will be easily accessible, reusable for both researchers and public. In addition, we expect it will contribute to the establishment of diverse environmental policies concerning environmental assessments, habitat conservation, prediction of endangered species distribution and ecological risks due to climate change. The dataset through this study is open freely online via EcoBank (nie-ecobank.kr) which is the first ecological information portal system in Korea developed by National Institute of Ecology.

• Journal of Wetlands Research
• /
• v.25 no.4
• /
• pp.417-425
• /
• 2023

As climate change gets severe, the ecosystem acts as an important carbon sink, therefore efforts are being made to utilize these functions to mitigate climate change. In this study, we inventoried and analyzed the previous studies related to carbon storage and flux by ecosystem type (forest, cropland, wetland, grassland, and settlement) and carbon pool (aboveground and belowground biomass, dead wood, Litter, soil organic carbon, and ecosystem) in Korean ecosystems. We also collected the results of previous studies and calculated the average value of carbon storage and flux for each ecosystem type and carbon pool. As a result, we found that most (66%) of Korea's carbon storage and fluxes studies were conducted in forests. Based on the results of forest studies, we estimated the storage by carbon stock. We found that much carbon is stored in vegetation (aboveground: 4,018.32 gC m^-2 and belowground biomass: 4,095.63 gC m^-2) and soil (4,159.43 gC m^-2). In particular, a large amount of carbon is stored in the forest understory. For other ecosystem types, it was impossible to determine each carbon pool's storage and flux due to data limitations. However, in the case of soil organic carbon storage, the data for forests and grasslands were comparable, showing that both ecosystems store relatively similar amounts of carbon (4,159.43 gC m^-2, 4,023.23 gC m^-2, respectively). This study confirms the need to study carbon in rather diverse ecosystem types.

• Journal of Technology Innovation
• /
• v.28 no.4
• /
• pp.165-175
• /
• 2020

In this viewpoint paper, we overlook the potential of the data industry and the strategies needed in order to survive in this new socio-economic order brought by COVID-19. The social distancing culture is leading to the expansion and centralization of data. The government established the development plan of the data industry ecosystem and the capital flow is following this stream, so this is an opportunity for those in the data business. To survive and grow in the data industry ecosystem, we need to identify quality characteristics that have a comparative advantage over competitors based on high data quality and need to determine the target business segmentation to avoid wasting resources and make efficient investments.

• Korea Information Processing Society Review
• /
• v.31 no.1
• /
• pp.53-60
• /
• 2024

• Journal of Wetlands Research
• /
• v.25 no.4
• /
• pp.408-416
• /
• 2023

The IUCN Red List of Ecosystems serves as a global standard for assessing and identifying ecosystems at high risk of biodiversity loss, providing scientific evidence necessary for effective ecosystem management and conservation policy formulation. The IUCN Red List of Ecosystems has been designated as a key indicator (A.1) for Goal A of the Kunming-Montreal Global Biodiversity Framework. The assessment of the Red List of Ecosystems discerns signs of ecosystem collapse through specific criteria: reduction in distribution (Criterion A), restricted distribution (Criterion B), environmental degradation (Criterion C), changes in biological interaction (Criterion D), and quantitative estimation of the risk of ecosystem collapse (Criterion E). Since 2014, the IUCN Red List of Ecosystems has been evaluated in over 110 countries, with more than 80% of the assessments conducted in terrestrial and inland water ecosystems, among which tropical and subtropical forests are distributed ecosystems under threat. The assessment criteria are concentrated on spatial signs (Criteria A and B), accounting for 68.8%. There are three main considerations for applying the Red List of Ecosystems assessment domestically: First, it is necessary to compile applicable terrestrial ecosystem types within the country. Second, it must be determined whether the spatial sign assessment among the Red List of Ecosystems categories can be applied to the various small-scale ecosystems found domestically. Lastly, the collection of usable time series data (50 years) for assessment must be considered. Based on these considerations, applying the IUCN Red List of Ecosystems assessment domestically would enable an accurate understanding of the current state of the country's unique ecosystem types, contributing to global efforts in ecosystem conservation and restoration.

• Journal of Information Technology and Architecture
• /
• v.10 no.2
• /
• pp.197-209
• /
• 2013

This study analyzes the nature of consumers and smart phones as well as its limitations that domestic mobile communication companies confront. According to the analysis results, emerging technologies such as 5G communication, pervasive computing, augmented reality, and big data seem to have significant effect on the ICT ecosystem in the near future. Based on the results, this study suggests four counterstrategies for domestic mobile communication companies: big data strategy, preparation of things acting as a main communication agent, new service platform development, and 'total life care service provider' strategy.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.13 no.6
• /
• pp.511-522
• /
• 2020

The purpose of this thesis is to derive a strategy to establish an ecosystem for promoting health my data projects in the public domain. To this end, first, the types of my data business were classified by business domain, subject, purpose, and method, and based on this, my data business being promoted in Korea and abroad was analyzed by type. After that, based on the analysis results, scenarios for my data projects that public domain can promote and the roles and major issues of each subject were identified, and the strategic direction for each subject of the ecosystem was presented. Such an attempt is of primary significance in revealing the role that the health MyData project can take the lead in the public domain to settle in Korea targeting sensitive information. Through this, it is expected that it will be a cornerstone of discussion to identify issues that are expected to establish an ecosystem in Korea, and to present a direction in which the my data business can be promoted in the right direction in the future.

• The Journal of the Korea Contents Association
• /
• v.20 no.8
• /
• pp.1-9
• /
• 2020

As the aging problem of the regional industry ecosystem has gradually become serious, research to measure and regenerate the regional industry ecosystem decline has been actively conducted. However, little research has been done on regional industry ecosystem crises. Crisis emerges radically over a short period of time, and it is often impossible to respond by post-response, so you must respond before the crisis occurs. In other words, it is more necessary and required when looking at the crisis early and taking a proactive response from a long-term perspective. Therefore, it is necessary to develop a predictive model that can proactively recognize and respond to the crisis in the regional industry ecosystem. Therefore, this study checked the possibility of predicting the risk of regional industry and market according to the emotional score of the news by using large-scale news data. News sentiment analysis was performed using the Google sentiment analysis API, and this was organized by month to check the correlation between actual events.