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A Study on the Proposal for Building an Integrated Platform for Research Output Utilization

  • Younghee Noh
    • International Journal of Knowledge Content Development & Technology
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    • 제14권4호
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    • pp.27-46
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    • 2024
  • In this study, an attempt was made to propose the establishment of an integrated platform for utilizing research results as one of the measures that can increase the effectiveness of using research results compared to research investment. To this end, the study endeavored to compare and analyze the information services provided by domestic websites and platforms that provide information on the results of national R&D projects. Based on the analysis results, the derived performance utilization platform service direction and performance utilization plan are: 1) establishment of a performance integration platform that integrates the performance information, 2) specification of service users and provision of consumer-oriented services, 3) metadata for linkage of integrated information Standardization, 4) expansion of customized services using the latest technology, and 5) reinforcement of performance data-based analysis services. This study conducted an analysis of literature and about 20 domestic and foreign research performance information providing sites. In future research, there is a need to integrate a unified platform and further analyzed its performance.

Semantic-based Mashup Platform for Contents Convergence

  • Yongju Lee;Hongzhou Duan;Yuxiang Sun
    • International journal of advanced smart convergence
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    • 제12권2호
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    • pp.34-46
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    • 2023
  • A growing number of large scale knowledge graphs raises several issues how knowledge graph data can be organized, discovered, and integrated efficiently. We present a novel semantic-based mashup platform for contents convergence which consists of acquisition, RDF storage, ontology learning, and mashup subsystems. This platform servers a basis for developing other more sophisticated applications required in the area of knowledge big data. Moreover, this paper proposes an entity matching method using graph convolutional network techniques as a preliminary work for automatic classification and discovery on knowledge big data. Using real DBP15K and SRPRS datasets, the performance of our method is compared with some existing entity matching methods. The experimental results show that the proposed method outperforms existing methods due to its ability to increase accuracy and reduce training time.

한국 보건의료 빅데이터 플랫폼에서 웹 기반 OLAP 서버 구현 (An Implementation of Web-Enabled OLAP Server in Korean HealthCare BigData Platform)

  • ;김진혁;정승현;이경희;조완섭
    • 한국콘텐츠학회:학술대회논문집
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    • 한국콘텐츠학회 2017년도 춘계 종합학술대회 논문집
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    • pp.33-34
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    • 2017
  • In 2015, Ministry of Health and Welfare of Korea announced a research and development plan of using Korean healthcare data to support decision making, reduce cost and enhance a better treatment. This project relies on the adoption of BigData technology such as Apache Hadoop, Apache Spark to store and process HealthCare Data from various institution. Here we present an approach a design and implementation of OLAP server in Korean HealthCare BigData platform. This approach is used to establish a basis for promoting personalized healthcare research for decision making, forecasting disease and developing customized diagnosis and treatment.

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Development of Evaluation Perspective and Criteria for the DataON Platform

  • Kim, Suntae
    • Journal of Information Science Theory and Practice
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    • 제8권2호
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    • pp.68-78
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    • 2020
  • This study is a preliminary study to develop an evaluation framework necessary for evaluating the DataON platform. The first objective is to examine expert perceptions of the level of DataON platform construction. The second objective is to evaluate the importance, stability, and usability of DataON platform features over OpenAIRE features. The third objective is to derive weights from the evaluation perspective for future DataON platform evaluation. The fourth objective is to examine the preferences of experts in each evaluation perspective and to derive unbiased evaluation criteria. This study used a survey method for potential stakeholders of the DataON platform. The survey included 12 professionals with at least 10 years of experience in the field. The 57 overall functions and services were measured at 3.1 out of 5 for importance. Stability was -0.07 point and usability was measured as -0.05 point. The 42 features and services scored 3.04 points in importance. Stability was -0.58 points and usability was -0.51 points. In particular, the stability and usability scores of the 42 functions and services provided as of 2018 were higher than the total functions were, which is attributed to the stable and user-friendly improvement after development. In terms of the weight of the evaluation point, the collection quality has the highest weight of 27%. Interface usability is then weighted 22%. Subsequently, service quality is weighted 19%, and finally system performance efficiency and user feedback solicitation are equally weighted 16%.

상호운용성 향상을 위한 온톨로지 기반의 IoT 플랫폼 (Ontology-based IoT Platform for Improving Interoperability)

  • 이강준;장우린;양병헌;이승연;정동원;이석훈
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2021년도 추계학술대회
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    • pp.6-8
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    • 2021
  • 최근 사물인터넷 기술은 지속적으로 발전하고 있으며, IoT 디바이스들이 다양한 영역에서 활용되고 있다. IoT 플랫폼은 다양한 디바이스들을 연결하여 데이터를 수집 및 관리할 뿐 아니라, 디바이스로부터 수집된 데이터를 실시간으로 모니터링하거나 제어하는 기술을 지원해야 한다. 하지만 기존의 IoT 플랫폼들은 데이터의 유형 및 프로토콜 등이 상이하여 플랫폼 간 디바이스를 모니터링하거나 제어하지 못하는 문제를 지닌다. 이 연구는 이러한 문제를 해결하기 위하여 온톨로지 기반 IoT 플랫폼을 제안한다. 이를 위하여 기존의 IoT 플랫폼들의 종류 및 특징을 분석하고, 이러한 분석 결과를 통해 새로운 플랫폼 구조를 제안한다. 제안 플랫폼은 온톨로지 기술 등을 활용하여 유연한 데이터 관리 및 타 플랫폼 간 상호운용성 향상의 효과를 기대할 수 있다.

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Review of Artificial Intelligence Platform Policies and Strategies in South Korea, United States, China and the European Union Using National Innovation Capacity

  • Park, Mun-Su;Chang, Soonwoo Daniel
    • International Journal of Knowledge Content Development & Technology
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    • 제12권3호
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    • pp.79-99
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    • 2022
  • South Korea is at an important juncture in its history to decide whether to continue its investment to become a first-mover of artificial intelligence (A.I.) platform technology or stay as a fast follower. This paper compares South Korea's A.I. platform capacity to that of the United States, China and the European Union by reviewing publicly opened documents and reports on AI platform strategies and policies using the three elements of the national innovation capacity: common innovation infrastructure, cluster-specific conditions, and quality of linkages. This paper found three major areas the South Korean government can focus on in the A.I. platform industry. First, South Korea needs to increase its investment in the A.I. field and expand its public-private collaboration activities. Second, unlike the U.S. and the U.K., South Korea lacks data protection policies. Third, South Korea needs to build a high-performance system and environment to experiment with artificial intelligence technology and big data.

Implementation of an open platform for 3D spatial information based on WebGL

  • Lee, Ahyun;Jang, Insung
    • ETRI Journal
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    • 제41권3호
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    • pp.277-288
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    • 2019
  • VWorld is run by the Ministry of Land, Infrastructure, and Transport of South Korea and provides national spatial information, such as aerial images, digital elevation models, and 3D structural models. We propose herein an open platform for 3D spatial information based on WebGL using spatial information from VWorld. WebGL is a web-based graphics library and has the advantage of being compatible with various web browsers. Our open platform is also compatible with various web browsers. Accordingly, it is easily accessible via the VWorld site and uses the three-dimensional (3D) map program. In this study, we describe the proposed platform configuration, and the requests, management, and visualization approaches for VWorld spatial information data. Our aim is to establish an approach that will provide a stable rendering speed even on a low-end personal computer without a graphics processing unit based on a quadtree structure. We expect that users will be able to visualize 3D spatial information through the VWorld open platform, and that the proposed platform will become the basis for various applications.

웹 2.0을 위한 임베디드 Open API 서비스 플랫폼 설계 (Open API service platform designed for embedded)

  • 양문석;노영식;변지웅;차지윤;박상열;변영철
    • 한국콘텐츠학회:학술대회논문집
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    • 한국콘텐츠학회 2008년도 춘계 종합학술대회 논문집
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    • pp.587-590
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    • 2008
  • 웹 2.0은 정보의 개방을 통해 인터넷 사용자들 간의 정보 공유와 참여를 이끌어내고 이를 통해 정보의 가치를 지속적으로 증대시키는 것으로 누구든지 웹에서 제공하는 각종 데이터를 활용하여 다양한 서비스를 생산할 수 있는 플랫폼으로서의 웹(Web as Platform)환경을 의미한다. 이에 본 논문에서는 유비쿼터스 컴퓨팅을 실현하기 위해 도처에 설치되어 있는 임베디드 컴퓨터로부터 정보 및 서비스를 받을 수 있도록 임베디드 환경 지원을 위한 웹 기술을 연구한다. 즉, 웹 2.0의 트랜드인 공유와 개방을 지원하기 위해 임베디드 시스템에 탑재되어 실시간으로 다양한 정보 및 서비스를 다수의 인터넷 사용자에게 제공할 수 있는 Open API 서비스를 제공하는 플랫폼을 설계한다.

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IoT 기반 지능형 수위 모니터링 플랫폼 설계 및 구현 (Design and Implementation of IoT-Based Intelligent Platform for Water Level Monitoring)

  • 박지훈;강문성;송정헌;전상민
    • 농촌계획
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    • 제21권4호
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    • pp.177-186
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    • 2015
  • The main objective of this study was to assess the applicability of IoT (Internet of Things)-based flood management under climate change by developing intelligent water level monitoring platform based on IoT. In this study, Arduino Uno was selected as the development board, which is an open-source electronic platform. Arduino Uno was designed to connect the ultrasonic sensor, temperature sensor, and data logger shield for implementing IoT. Arduino IDE (Integrated Development Environment) was selected as the Arduino software and used to develop the intelligent algorithm to measure and calibrate the real-time water level automatically. The intelligent water level monitoring platform consists of water level measurement, temperature calibration, data calibration, stage-discharge relationship, and data logger algorithms. Water level measurement and temperature calibration algorithm corrected the bias inherent in the ultrasonic sensor. Data calibration algorithm analyzed and corrected the outliers during the measurement process. The verification of the intelligent water level measurement algorithm was performed by comparing water levels using the tape and ultrasonic sensor, which was generated by measuring water levels at regular intervals up to the maximum level. The statistics of the slope of the regression line and $R^2$ were 1.00 and 0.99, respectively which were considered acceptable. The error was 0.0575 cm. The verification of data calibration algorithm was performed by analyzing water levels containing all error codes in a time series graph. The intelligent platform developed in this study may contribute to the public IoT service, which is applicable to intelligent flood management under climate change.

Plan for Construction and Utilization of Knowledge-Service Platform for Supporting Biomimicry Technology Development

  • Seo, Hyunjin;Bae, Haejin;Kim, Sun-Joong;Kim, Jinhee
    • Proceedings of the National Institute of Ecology of the Republic of Korea
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    • 제3권3호
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    • pp.178-186
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    • 2022
  • In order to support biomimicry technology development, it is necessary to develop an omnidirectional service platform which can recommend principles of biomimicry and business ideas, providing experts' networks and carrying out their relevant education and promotion on the ground of baseline data and application research materials related to biomimicry. This study was conducted to establish any probable plans for construction and utilization of the future open-platform which will collect and serve the technology of biomimicry. Accordingly, biological and ecological information databases were examined along with the appreciation of construction and management of major biomimicry DB, and, based on the materials from the interview of related experts, a customer journey map was schematized. Lastly, in order to suggest a mid-to-long-term target-model, the roles of a future biomimicry knowledge service-platform were determined along with the potential plans for its construction and management based on case analysis and customers' needs.