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A Study on Knowledge Open Platform for Science and Technology Information Service: With a Focus on Data, Technology Software and Utilization-Case

과학기술정보 서비스 지원을 위한 지식 공유 플랫폼 - 데이터, 기술 S/W 및 활용 사례를 중심으로

  • Kim, Kwang-Young (S&T Information Center, Korea Institute of Science and Technology Information) ;
  • Lee, Seok-Hyoung (S&T Information Center, Korea Institute of Science and Technology Information) ;
  • Lee, Hye-Jin (S&T Information Center, Korea Institute of Science and Technology Information) ;
  • Park, Jung-Hoon (S&T Information Center, Korea Institute of Science and Technology Information) ;
  • Seol, Jae-Wook (S&T Information Center, Korea Institute of Science and Technology Information) ;
  • Kim, Jinyoung (S&T Information Center, Korea Institute of Science and Technology Information) ;
  • Oh, Heung-Seon (S&T Information Center, Korea Institute of Science and Technology Information) ;
  • Yoon, Jung-Sun (S&T Information Center, Korea Institute of Science and Technology Information) ;
  • Jeong, Seo-Young (S&T Information Center, Korea Institute of Science and Technology Information)
  • 김광영 (한국과학기술정보연구원 과학기술정보센터) ;
  • 이석형 (한국과학기술정보연구원 과학기술정보센터) ;
  • 이혜진 (한국과학기술정보연구원 과학기술정보센터) ;
  • 박정훈 (한국과학기술정보연구원 과학기술정보센터) ;
  • 설재욱 (한국과학기술정보연구원 과학기술정보센터) ;
  • 김진영 (한국과학기술정보연구원 과학기술정보센터) ;
  • 오흥선 (한국과학기술정보연구원 과학기술정보센터) ;
  • 윤정선 (한국과학기술정보연구원 과학기술정보센터) ;
  • 정서영 (한국과학기술정보연구원 과학기술정보센터)
  • Received : 2017.09.25
  • Accepted : 2017.10.25
  • Published : 2017.10.31

Abstract

In order to support the service efficiently, a Science and Technology information platform that can share the same contents and technologies is needed. Therefore this study develop a platform that can use various contents and technologies as a common utilization factor, and support a fast and efficient service. In addition, It suggest examples of various APIs in a platform environment system that can utilize scientific data and technologies in various forms according to their use. Throughout the studies, various contents and technologies will be able to connect and interact with each other through the API Gateway on the platform, as well as to integrate Science and Technology contents based on identified researchers, institutions, and terminology data.

과학기술정보 서비스를 효율적으로 지원하기 위해서는 동일한 콘텐츠와 기술을 상호 공유할 수 있는 과학기술정보만의 플랫폼이 필요하다. 따라서 본 논문에서 다양한 콘텐츠 및 기술을 공통의 활용 요소로 사용할 수 있는 플랫폼을 설계함으로써 신속하고 효율적인 서비스를 지원하고자 한다. 더불어 과학기술 데이터와 기술들을 용도에 따라 활용할 수 있는 플랫폼 환경 체제에서의 다양한 API 활용 사례를 제시하였다. 이를 통해 각종 콘텐츠와 기술들은 플랫폼 상에서 API Gateway를 통해 상호작용하고 식별된 연구자, 기관, 용어 데이터를 중심으로 과학기술콘텐츠를 융합할 수 있을 것이다.

Keywords

References

  1. 2e Consulting. The concept of Open Science[Internet]. Avilable: http://www.2e.co.kr/hp/pages/share/ShareView. php?modsrl=5913&docsrl=116433&datatype=sms.
  2. S.G. Jang, "Open Innovation is evolving," LG Business Insight, Vol. 3, No. 2, pp. 40-48, February 2016.
  3. ckan[Internet]. Available: https://ckan.org/.
  4. Socrata[Internet]. Available: https://socrata.com/.
  5. J. S. Kim, "A new R&D Paradigm Open Science," SCIENCE & CREATIVITY, Vol. 220, pp. 4-5, January 2016.
  6. H. C. Yang, "EU Let Anyone Permission to Use Academic literature," Science & Technology Policy, Vol. 26, No. 5, pp. 12-15, May 2016.
  7. I-CON. Future Tasks and Suggestions for Open Science[Internet]. Available: http://icon.ndsl.kr/i_seminar/i_info/introduce_l.jsp.
  8. Drupal[Internet]. Available: https://www.drupal.org/.
  9. DSPACE[Internet]. Available: http://www.dspace.org/.
  10. Microsoft Azure[Internet]. Available: https://azure.microsoft.com/.
  11. SciVal[Internet]. Available: https://www.elsevier.com/ solutions/scival
  12. Y. P. Chiu, Y. S. Shih, Y. Y. Lee, C. C. Shao, M. L. Cai, S. L. Wei and H. H. Chen, "NTUNLP approaches to recognizing and disambiguating entities in long and short text at the ERD challenge 2014," In Proceedings of the first international workshop on Entity recognition & disambiguation, ACM., pp. 3-12, 2014.
  13. P. Kanani, A. McCallum, "Efficient strategies for improving partitioning-based author coreference by incorporating Web pages as graph nodes," In Proceedings of AAAI 2007 workshop on information integration on the Web, California, USA: pp. 38-43, 2007.
  14. K. H. Yang, J. Y. Jiang, H. M. Lee, and J. M. Ho, J. M, "Extracting citation relationships from web documents for author disambiguation," Technical Report, 2006.
  15. H. Han, L. Giles, H. Zha, C. Li and K. Tsioutsiouliklis, "Two supervised learning approaches for name disambiguation in author citations," In Digital Libraries, Proceedings of the 2004 joint ACM/IEEE conference on IEEE, pp. 296-305, 2004.
  16. M. Yoshida, M. Ikeda, S. Ono, I. Sato and H. Nakagawa, "Person name disambiguation by bootstrapping," Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval, Geneva, Switzerland: pp. 10-17, 2010.
  17. X. Yang, P. Jin and W. Xiang, "Exploring Word Similarity to Improve Chinese Personal Name Disambiguation," In Web Intelligence and Intelligent Agent Technology (WI-IAT), 2011 IEEE/WIC/ACM International Conference on IEEE, Lyon, France: pp. 197-200, 2011.
  18. J. W. Seol, S. H. Lee and K. W. Kim, "Author Disambiguation using Co-Author Network and Supervised Learning Approach in Scholarly Data," Journal of Software Engineering and Its Applications, Vol. 10, No. 4, pp.73-82, 2016. https://doi.org/10.14257/ijseia.2016.10.4.08
  19. S.-H. Lee, "A Study on the Construction of Identified Data of Author's Affiliation in Academic Papers," Journal of the Institute for Social Sciences, Vol. 25, No. 4, pp. 391-410, 2014.
  20. S. H. Lee, S. J. Kwak, "A Study on the Construction for Name Authority Data of the Korean Academic Papers," Journal of the Korean Biblia Society for Library and Information Science, Vol. 21, No. 1, pp. 105-118, 2010.
  21. S. H. Lee, S. J. Kwak, "Development and Evaluation of Authority Data based Academic Paper Retrieval System," Journal of the Society for Library and Information Science, Vol. 46, No. 2, pp. 133-156, 2012.
  22. E. Caron, H. Daniels, "Identification of Organization Name Variants in Large Databases using Rule-based Scoring and Clustering With a Case Study on the Web of Science Database," In Proceedings of the 18th International Conference on Enterprise Information Systems, Rome, Italy: pp. 182, 2016.
  23. J. Y. Kim, S. H. Lee, D. J. Suh, K. Y. Kim and J. S. Yoon, "A Study on the Identification Algorithm for Organization's Name of Author of Korean Science & Technology Contents," Journal of Digital Contents Society, Vol. 18, No. 2, pp. 373-382. 2017. https://doi.org/10.9728/dcs.2017.18.2.373
  24. J. Y. Kim, S. H. Lee, D. J. Suh and K. Y. Kim, "A Study on the Method and System for Organization's Name Authorization of Korean Science and Technology Contents," Journal of Digital Contents Society, Vol. 17, No. 6, pp. 555-563, 2016. https://doi.org/10.9728/dcs.2016.17.6.555