Design Methodology of Integrated Architecture for S&T Knowledge Infrastructure

과학기술 지식인프라 통합 아키텍처 설계방법론

  • Received : 2018.08.27
  • Accepted : 2018.09.28
  • Published : 2018.09.30


Recently, the platforms for open science are being developed for helping researchers and scientists who are interested in convergence studies. This paper is focused on deriving a design method for an integrated architecture for knowledge infrastructure in science and technology and to set up the integration level of details and association between data and services in the integrated architecture. To facilitate the open science in research lifecycle, reconstructing individual services into modular and independent function blocks needs to be reusable and interoperable. The proposed design methodology is used for manipulating a service integration for the convergence service of S&T(Science and Technology) knowledge infrastructure. It can support to seamlessly access computing resources and the research results including artifacts digitally enabled scholars, researchers, and engineers participating in multidisciplinary collaborations.

최근 오픈 사이언스를 위한 플랫폼 개발이 국내외적으로 이루어지고 있으며, 과학기술 지식인프라의 데이터 처리 및 서비스 운영을 분석하여 과학기술 지식인프라의 성과확산을 위한 시스템 개발에 대한 요구가 증가하고 있다. 이 논문은 과학 기술 분야의 지식인프라를 위한 통합 아키텍처 설계 방법론을 도출하고 통합 아키텍처에서 데이터와 서비스의 통합수준 및 연계를 설정하는 그 방안을 제시한다. 연구 전과정에서 오픈 사이언스를 활용하기 위해서는 개별 서비스를 모듈 및 독립적인 기능 블록으로 구성하여 재사용 및 상호 운영될 수 있어야 한다. 이를 위해 제안된 설계 방법론은 과학기술 지식 인프라의 통합 서비스를 위한 서비스 통합을 다루기 위해 사용하며, 이는 다분야의 협력 참여연구자 및 엔지니어의 계산 수행 결과 및 산출물의 솔기없는 접근을 지원할 수 있다.



Supported by : 한국과학기술정보연구원


  1. Jeffrey Robert Spies. 2013. The Open Science Framework: Improving Science by Making it Open and Accessible. Ph.D. Dissertation. University of Virginia, Charlottesville, VA, USA. Advisor(s) Brian Nosek. AAI3570855
  2. Erin D. Foster, MSLS & Ariel Deardorff, MLIS. (2017). Open Science Framework (OSF). Journal of the Medical Library Association. 105. 10.5195/JMLA.2017.88.
  3. National Institutes of Health, "Request for Information: NIH Public Access Policy", available at
  4. Ryan Mork, Paul Martin, and Zhiming Zhao. 2015. Contemporary challenges for data-intensive scientific workflow management systems. In Proceedings of the 10th Workshop on Workflows in Support of Large-Scale Science (WORKS '15). ACM, New York, NY, USA, , Article 4 , 11 pages. DOI:
  5. Philippe Kruchten. 1995. The 4+1 View Model of Architecture. IEEE Softw. 12, 6 (November 1995), 42-50. DOI:
  6. IEEE, "IEEE Standard Computer Dictionary: A Compilation of IEEE Standard Computer Glossaries", Institute of Electrical and Electronics Engineers, 1990.
  7. Sandra Heiler. 1995. Semantic interoperability. ACM Comput. Surv. 27, 2 (June 1995), 271-273. DOI=
  8. Northrop L, Feiler P, Gabriel RP, Goodenough J, Linger R, Kazman R, et al. Ultra-large-scale systems-the software challenge of the future. Technical report Software Engineering Institute Carnegie Mellon University ISBN. 2006.
  9. Eric A. Marks and Michael Bell. 2006. Service-Oriented Architecture (Soa): A Planning and Implementation Guide for Business and Technology. John Wiley & Sons, Inc., New York, NY, USA.
  10. Organization for the Advancement of Structured Information Standards (2006), Reference Model for Service Oriented Architecture 1.0 , OASIS .
  11. Morris, E.J., Levine, L., Meyers, B.C. and Plakosh, D., System of systems interoperability (SOSI): final report. 2004. Software Engineering Institute, Carnegie Mellon University.
  12. [G. Alonso and F. Casati and H. Kuno and V. Machiraju., Web Services Concepts, Architectures and Applications, Springer Verlag, 2004
  13. T. Erl., Service-Oriented Architecture (SOA): Concepts, Technology, and Design, Prentice Hall, 200
  14. S. Chatterjee and J. Webber, Developing Enterprise Web Services: An Architect's Guide, Prentice Hall, 2004
  15. E. Christensen, F. Curbera, G. Meredith, and S. Weerawarana. Web Services Description Language (WSDL) 1.1. W3C, 1.1 edition, March 2001.