• 제목/요약/키워드: Knowledge-based platform

검색결과 278건 처리시간 0.024초

한-아세안 습지 지식공유 플랫폼 개발 및 제언 (Development of Korea-ASEAN Wetland Knowledge Sharing Platform and Future Suggestions)

  • 윤지현;김재근;강성룡
    • 한국습지학회지
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    • 제23권3호
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    • pp.224-233
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    • 2021
  • 본 연구는 "한-아세안 습지 지식공유 플랫폼" 개발을 위해 글로벌 지식공유 플랫폼들을 분석하고, 이해당사자들의 의견을 수렴 하였다. 글로벌 지식공유 플랫폼 분석결과 플랫폼을 지속가능하게 유지하고 활발하게 사업을 수행하기 위해서는 1) 재정지원과 2) 지식 결과물이 중요한 것으로 나타났다. 이해당사자들의 의견 분석 결과 3가지 주요사업(① 한-아세안 지역의 습지 인벤토리 비교분석, ② 습지 연구동향 지식격차 분석, ③ 습지 관련 정보공유 웹인프라 구축)이 제안되었다. 문헌분석과 이해당사자들의 의견을 종합적으로 고려한 결과 "한-아세안 습지 지식공유 플랫폼"은 국제협약(람사르협약, 생물다양성협약)의 목표와 정합성을 갖도록 정의하였고, 생물다양성과학기구를 기반모델로 선정하였다. 본 연구의 플랫폼은 생물다양성과학기구와 동일하게 지식관리, 지식평가, 역량강화, 정책지원, 의사소통과 참여를 핵심목표로 선정하였다. 지식공유 플랫폼은 한-아세안 지역 내에 같은 유형의 습지생태계 관련 지식을 공유하고, 과학기반 정책 수립에 필요한 정보를 제공 할 수 있을 것이다.

지식베이스를 이용한 플랜트 엔지니어링 분석 플랫폼 개발 (Development of Plant Engineering Analysis Platform using Knowledge Base)

  • 고영동;김현수
    • 한국빅데이터학회지
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    • 제7권2호
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    • pp.139-152
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    • 2022
  • 플랜트를 대상으로 하는 엔지니어링의 업무영역은 플랜트의 기획, 설계, 시공, 운영 및 폐기에 이르는 생애주기에 걸친 생산성과 성능 및 품질에 직접적인 영향을 미치는 복합적인 기술분야이다. 이때 발생하는 다양한 유형의 데이터를 활용하여 의사결정을 활용하는 것은 후속 과정뿐만 아니라 생애주기 관점에서도 중요한 영향을 미치고 있다. 하지만 이러한 데이터를 통합적으로 관리하고 분석할 수 있는 시스템은 부족하다. 본 논문에서는 플랜트 생애주기에서 발생하는 데이터를 관리하고 활용할 수 있는 지식베이스 기반 플랜트 엔지니어링 분석 플랫폼을 개발하였다. 플랫폼에서는 기수집된 엔지니어링 데이터를 전처리한 지식베이스를 제공하고, 이를 레퍼런스 데이터로 AI 모델에 활용하도록 분석 기능과 시각화를 제공한다. 사용자는 플랫폼을 통한 선행기술과 축적된 지식의 활용을 통해 데이터 분석을 진행하고 시각화를 의사결정에 활용해 경험에만 의존하던 공사를 합리적이고 체계적으로 관리할 수 있다.

WEB-BASED CONSTRUCTION KNOWLEDGE MANAGEMENT PORTAL

  • Youjin Jang;Moonseo Park;Hyun-Soo Lee
    • 국제학술발표논문집
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    • The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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    • pp.487-492
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    • 2011
  • As a knowledge-based economy is emerging, knowledge management (KM) is being rapidly disseminated in both academic circles and the business world. Accordingly, how to effectively manage knowledge is vital to the survival and advance of a company, particularly in project-based industries such as construction. For these reasons, construction companies have adopted IT-based Knowledge management systems (KMS), which is the technology platform and infrastructure that an organization employs to support knowledge management. However, many construction companies have spent resources on developing a KMS that only focus on codification. Furthermore, small and medium-sized companies have limited resources to afford extensive investments. This research addresses the problems found in the current KMS and develops a web-based construction knowledge management portal (CKMP). To achieve these objectives, a case study is conducted and requirements for implementing KM are identified. Based on the identified requirements, this paper builds CKMP using Expert Index (EI), blog, ontology based knowledge retrieval, and wikiblog. The most important functionality of CKMP is their fundamentals to synchronize and support KM process. In order to validate the CKMP, a pilot test with actual users is conducted, and the usability of the system is compared with the current systems. This study is relevant to both the construction industry and academia, as it provides a means of enhancing the performance of KM.

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PHR 기반 개인 맞춤형 건강정보 탐사 알고리즘 설계 (Design of knowledge search algorithm for PHR based personalized health information system)

  • 신문선
    • 디지털융복합연구
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    • 제15권4호
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    • pp.191-198
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    • 2017
  • PHR(Personal Health Record)기반 헬스케어 서비스 플랫폼 지능화를 위해서는 사용자 맞춤형 건강정보 제공서비스가 필요하다. 본 논문에서는 개인 맞춤형 건강정보 추천을 위해서 온톨로지 기반 건강 정보 모델을 제안하였다. 또한 기계학습과 데이터마이닝 기법을 적용한 유사 건강정보 탐사 알고리즘을 설계하였다. 기존의 데이터마이닝 기법중 연관규칙 알고리즘을 확장하여 속성을 기반으로 연관규칙 탐사를 수행하여 지식탐사의 연관성을 높이고 효율적인 탐사시간을 제공할 수 있도록 하였다. 머신러닝의 한 기법인 K근접이웃 알고리즘을 적용하여 사용자 프로파일별 그룹화를 수행하고 유사패턴의 사용자 프로파일을 검색할 수 있도록 하였다. 이는 사용자의 질환과 건강상태에 따른 맞춤형 건강정보 탐사 수행의 효율성을 높인다. 제안된 알고리즘은 개인 맞춤형 헬스케어 서비스 플랫폼에서 추론과정에 적용되어 사용자에게 개인맞춤형건강정보를 추천하는 것을 가능하게 한다. 이는 고령화사회에서 스마트한 자가 건강관리에 활용될 수 있다.

플랫폼 정부 연구의 탐색적 분석 (Exploratory Analysis of Platform Government Research)

  • 신선영;서창교
    • 한국정보시스템학회지:정보시스템연구
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    • 제29권1호
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    • pp.159-179
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    • 2020
  • Purpose: We present a scientometric review of the literature on platform government to serve three primary purposes: First, to cluster researches on platform government based on the research issues; second, to identify the major papers, authors, and keywords in the domain; and third, to explore the promising research areas of platform government. Design/methodology/approach: We collected the platform government research from Web of Science, and analyzed 1,536 articles that was published during time span of 1998-2019. Next, co-citation networks are constructed and analyzed by using CiteSpace to visualize the domain clusters and dynamic research trends in the platform government domain. Findings: We identified 13 sub areas of the platform government research: global investigation, consumer product quality, digital agora, civic crowd funding, and open data use etc. We also visualize the top 20 references with the strongest citation bursts, co-authors network, co-occurring keyword network, and timeline of co-citation clusters.

디지털 헬스케어 생태계 활성화를 위한 라이프로그 공통데이터 참조모델 (A Lifelog Common Data Reference Model for the Healthcare Ecosystem)

  • 이영주;고윤석
    • 지식경영연구
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    • 제19권4호
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    • pp.149-170
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    • 2018
  • Healthcare lifelog, a personal record relating to disease treatment and healthcare, plays an important role in healthcare paradigm shifts in which medical and information technology converge. Healthcare services based on various healthcare lifelogs are being launched domestically by both large corporations and small and medium enterprises, however, they are being built on an individual platform that is dependent on each company. Therefore, the terms of lifelog data are different as well as the measurement specifications are not uniform. This study proposes a reference model for minimum common data required for sharing and utilization of healthcare lifelog. Literature study and expert survey derived 3 domain, 17 essential items, and 51 sub-items. The model provides definition, measurement data format, measurement method, and precautions for each detailed measurement item, and provides necessary guidelines for data and service design and construction for healthcare service. This study has its significance as a basic research supporting the activation of ecosystem by ensuring interoperability of data between heterogeneous healthcare devices linked to digital healthcare platform.

Knowledge Management Assessment Using PDCA based in Global and Local Standards: in the Case of Technics and Informatics Studies

  • Ruzicic, Vesna S.;Micic, Zivadin M.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권5호
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    • pp.2022-2042
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    • 2020
  • This research aims to contribute to the discipline of knowledge management (KM) in Higher Education (HE), and is conducted using the case of the study programme (SP) for Integrated Academic Studies (IAS) of Technics and Informatics (TI). A deduction-induction methodology is applied, using a Plan-Do-Check-Act (PDCA) approach to design a suitable KM concept for making improvements to the SP IAS TI on the standardisation platform. Based on the application of the International Classification of Standards (ICS), the research analyses the correlations and competences acquired during the courses within the accredited TI study programme of two-course studies. On the basis of the results of a comparative analysis of the developmental learning process and educational goals, it is shown that knowledge management in correlation with standardisation leads to the improvement of study programmes in the upcoming accreditation cycle on the standardisation platform. Frequent innovations within standardised thematic fields (daily, weekly, monthly, etc.) indicate the need for appropriate changes to the SP. The contribution to KM is through an original analysis of annual samples of more than 90,000 standardised sources in correlation with the TI study programme. Expert System (ES) modelling and the original results enable an analogous contribution to the future KM of other SPs.

Research of Semantic Considered Tree Mining Method for an Intelligent Knowledge-Services Platform

  • Paik, Juryon
    • 한국컴퓨터정보학회논문지
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    • 제25권5호
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    • pp.27-36
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    • 2020
  • 본 논문은 지식기반의 서비스 융합을 추구하는 4차산업혁명의 핵심 기반인 데이터로부터 유용하지만 드러나지 않는 정보들을 추출하는 방식을 제안한다. IoT로 대표되는 초연결사회에서 빅데이터의 생성은 필연적이며 그로부터 최적의 서비스를 도출하기 위해서는 가치있는 데이터를 찾아내는 것은 최우선으로 수행되어야 한다. 다양한 디바이스로부터 엄청난 양의 데이터를 수집·저장·관리하고 통합하는 데이터중심 IoT 플랫폼은 일종의 미들웨어 솔루션으로, 플랫폼의 궁극적인 목적은 빅데이터를 적시적소에 맞게 가공 및 분석수행 후 가치 있는 결과를 도출하여 최적의 답안을 제시하는 것이다. 이는 데이터를 분석하는 효율적이고 정확한 알고리즘을 필요로 한다. 이를 위해 본 논문은 분산되어 생성되는 IoT 데이터로부터 유용 정보 추출을 위해 시맨틱을 고려하여 원데이터를 저장하는 특화된 구조체를 설계하고 제안한 구조체에 기반하여 가치있는 정보를 찾아내기 위한 알고리즘을 다양한 정의와 증명을 사용하여 제시한다.

지식진화형 지능공작기계-Part 1: M2M 환경에서의 Agent 표준 플랫폼 기반 Dialogue Module 설계 (Knowledge-Evolutionary Intelligent Machine Tools - Part 1: Design of Dialogue Module based on Agent Standard Platform in M2M Environment)

  • 김동훈;송준엽
    • 제어로봇시스템학회논문지
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    • 제12권6호
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    • pp.600-607
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    • 2006
  • For the effective operation of manufacturing system, FMS(Flexible Manufacturing System) and CIM(Computer Integrated Manufacturing) system are developed. In these systems, a machine tool is the target of integration in last 3 decades. In nowadays, the conventional concept of machine tools is changing to the autonomous manufacturing device based on knowledge-evolution through applying advanced information technology in which open architecture controller, high speed network and internet technology are contained. In this environment, a machine tool is not the target of integration but the subject of cooperation. In the future, a machine tool will be more improved in the form of a knowledge-evolution based device. In order to develop the knowledge-evolution based machine tools, this paper proposes the structure of knowledge evolution in M2M(Machine To Machine) and the scheme of a dialogue agent among agent-based modules such as a sensory module, a dialogue module, and an expert system. The dialogue agent has a role of interfacing with another machine for cooperation. To design the dialogue agent module in M2M environment, FIPA-OS and ping agent based on FIPA-OS are analyzed in this study. Through this, it is expected that the dialogue agent module can be more efficiently designed and the knowledge-evolution based machine tools can be hereafter more easily implemented.

산학협력 캡스톤디자인 매칭 플랫폼 개발 연구 (Development Study of Capstone Design Matching Platform based on Industry-Academic Cooperation)

  • 김윤영;김재희
    • 공학교육연구
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    • 제26권2호
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    • pp.3-22
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    • 2023
  • The purpose of universities is diversifying, such as education and research for the transfer of knowledge and technology, and training talented people with the competencies required in industrial sites. Therefore, universities are attempting various forms of industry-academic cooperation to maintain organic relations with companies and to conduct research activities, technology sharing, technology development, technology transfer, and human resources training. In particular, in the field of engineering education, various industry-academic cooperation programs such as field training, interns, and start-up support are actively developed and operated. Accordingly, the Engineering Education Innovation Research Information Center developed an online industry-academic cooperation capstone design matching platform for engineering education to enable collaboration between universities and companies nationwide. The industry-academic cooperation matching platform was developed under the theme of capstone design. Capstone design is a project-oriented and problem-based learning method that combines the knowledge and experiences acquired by the undergraduate department and designs and produces them. The subject of the Capstone design project was to solve corporate difficulties and allow companies and universities to collaborate. This study developed an online industry-academic cooperation capstone design matching platform according to analysis, design, development, evaluation, and execution procedures. This study is meaningful in that it has developed a channel through which students and companies, who are the subjects of industry-academic cooperation, can carry out projects and communicate organically through an online matching platform.