• Journal of Korea Technology Innovation Society
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• v.9 no.3
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• pp.496-513
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• 2006

Ministry of Science and Technology(MOST) has a plan to establish the National Science and Technology Information System(NTIS). For successful NTIS, there are three pre-standardizations. Standard classification is the one of the three standardizations. In this paper, the validity of current National Standard Classification of Science and Technology(NSCST) is analyzed for three aspects. One is the duplication of NSCST, one another is the high ratio of incorrectness of information changed by mapping table and the last is the incorrectness of the mapping table itself. So for the successful NTIS a new Science and Technology Classicication shoud be considered.

• Review of KIISC
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• v.28 no.6
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• pp.25-32
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• 2018

국방과학기술 중 국가안보를 위해 보호해야 하는 기술을 방위산업기술로 정의하고 있다. 방위산업기술보호법의 대상기관은 보유 또는 연구개발 중인 방위산업기술을 식별한 후, 방위산업기술 정보를 적절한 보호등급으로 분류하여 보호하여야 한다. 이를 위해서는 국방과학기술 정보의 분류체계 국가 표준이 수립되어야 하지만 아직까지 분류체계가 정립되어 있지 않고 대상기관 별로 자체 내규로 정하도록 지침이 마련 중으로 향후 혼란을 야기할 수 있어 이에 대한 개선이 필요하다. 본 논문에서는 현행 국방과학기술 정보의 분류체계와 미국 국방부의 과학기술 정보의 분류체계를 비교하고 발전방향을 고찰해본다.

• Science & Technology Policy
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• v.12 no.6 s.138
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• pp.82-100
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• 2002

• Proceedings of the Korea Technology Innovation Society Conference
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• 2006.05a
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• pp.245-262
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• 2006

지식과 정보의 창출, 확산은 국가혁신의 원동력으로 크게 부각되고 있어 선진국은 체계적이고 수요자 지향적인 과학기술종합정보시스템(NTIS)을 구축하고 있다. 그러나 우리나라는 그 동안의 노력에도 불구하고 기관별 상호 연계성 미흡, 중복 개발 운영되어 효율성이 낮고, 연구성과 관리가 어렵고 활용도가 저조하였다. 이에 정부는 기술, 시장, 산업, 인력 등이 연계된 전주기 종합정보서비스체제를 구축하여 과학기술정보종합상황판 구축 활용하고자 한다. 언제, 어디서나 편리하게 이용할 수 있는 시스템 구축으로 하나의 창구로 종합적인 과학기술 정보의 획득이 가능하게 되고 국가연구개발 상황을 종합적으로 파악, 분석하여 투명하고 개방적인 연구관리 지원체제로 지식 정보의 체계적인 창출, 확산, 활용 및 공유를 통해 연구개발 생산성 제고 및 새로운 혁신체제를 구축할 계획이다. NTIS 구축의 향후 과제로는 (1) 연구기획 강화를 위한 R&D모니터 및 조기경보시스템 구축, (2) NTIS 표준화의 선결적 추진이 요구된다. 4가지 표준화 영역 중 기술요소표준을 제외한 3개 영역은 별도의 표준화 과제 수행을 통해 추진하되 분류표준 중 기술분류 표준은 인력, 장비, 기자재는 물론, 사업/프로그램 및 과제관리기관 등과 관련성을 가지므로 NTIS표준화의 핵심이 될 것이다.

• The Journal of the Korea Contents Association
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• v.19 no.10
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• pp.217-225
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• 2019

National research and development(R&D) information is information generated in the process of performing R&D based on programs and projects issued by national government departments, and includes information from various research fields as ordered by various departments. Therefore, for efficient R&D information retrieval, it is necessary to build a national R&D terminology dictionary that can reflect the characteristics of such national R&D information. In this study, we propose a method for constructing a national R&D terminology dictionary by applying the classification of science and technology standards used to specify the research field in national R&D information. We will discuss the structural characteristics of national R&D project information and the usefulness of the project keyword, and explain the status of national R&D information by the National Standard Science and Technology Classification(NSSTC) Codes and the characteristics of the national R&D terminologies. Based on this, a method for building a national R&D terminology dictionary is defined in terms of the type and structure of the terminology dictionary, preliminary construction procedures, and refining rules. The national R&D terminology dictionary built on the basis of this study can be used in various ways such as expansion of search terms using Korean-English equivalent words and synonyms when searching national R&D information, clarifying the scope of search using NSSTC, and providing user convenience functions using term explanation information.

• Journal of Korea Technology Innovation Society
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• v.6 no.2
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• pp.265-277
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• 2003

The various technologies of the science and technology field were systematized to manage information, personnel and R&D activities related to S&T effectively. The resulting “National Standard Science and Technology Classification” which were composed of 19 areas, 160 divisions and 1,023 categories could contribute to establish rational S&T policy. “National Standard Science and Technology Classification” is synthetic in national level because they include all areas of S&T activities. 5 criteria, which were inclusiveness, exclusiveness, likeness, scale and universality, were used to exert every effort in including the opinion of all experts and to consider harmony between S&T areas. In addition, “National Standard Science and Technology Classification” was prepared to be interchangeable with various classification which were used in other R&D management institutes under the different ministries.

• Proceedings of the Korea Contents Association Conference
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• 2019.05a
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• pp.181-182
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• 2019

국가과학기술지식정보서비스(NTIS)는 국가R&D 과제정보를 중심으로 참여인력, 성과(물), 참여기관 등의 정보를 연계하여 제공하고 있다. 각 과제정보는 한글 및 영문 키워드와 과학기술표준분류를 포함하고 있어, 과제정보를 중심으로 한 국가R&D정보 검색 및 분류에 활용하기 적합하다. 이러한 국가R&D정보를 서비스함에 있어 단순 검색을 벗어나 다양한 형태로 가공된 정보를 제공하기 위해서는 국가R&D 정보에 적합한 과학기술용어사전 구축이 필수적이다. 본 논문에서는 국가R&D 과제 키워드를 활용해 국가R&D정보에 적합한 과학기술용어사전을 구축하는 방안을 제안하고자 한다.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.32 no.4
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• pp.67-88
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• 2021

The National Science and Technology Standard Classification System is established and operated for the purpose of efficiently managing science and technology related information, manpower, and R&D projects. The revision cycle for the classification system is five years, and 2022 is the first year of the next revision procedures. The main purpose of the next revision is to turn the third level categories into the keywords in the current classification system. It is to solve the problems about not reflecting the latest terms, and the difficulty in linking with the relevant other classifications caused by the rigid structure of the current classification system. In this study, the method was proposed by changing the existing classification system into the term management system as to improve the quality and usability of keywords related with the current third level categories. For this method, SKOS, the international standard terminology management system, and ISO/IEC 11179 standards were offered as basic models. In addition, the related metadata standards used in overseas scientific and technological glossaries were investigated, and compared with the current National Science and Technology Standard Classification System. And then essential metadata elements from the terminology management as point of view was derived. As a result, 11 standard metadata elements that can be immediately modified and applied in the current system were recommended, and five elements that can be applied after the revision of the classification system were offered.

• Journal of Information Management
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• v.35 no.3
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• pp.109-123
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• 2004

The problem of semantic interoperability in science and technology information is frequently raised. Well-established classification scheme will be used as a tool to interchange information between different databases without semantic inconsistency. However, there is still a practical barrier due to different classification schemes each database adopts. Accordingly, it is urgent to harmonize or reconcile those classifications with each other. This paper aims to solve semantic inconsistencies occurred when interchanging information between databases having different classification schemes, the Standard National Sci-Tech Classification and the Standard KISTI Classification. For the purpose a conceptual analysis of science and technology are performed and five consistency/inconsistency types are analyzed based on some examples.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.1
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• pp.169-177
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• 2020

In South Korea, the results of R&D in science and technology are submitted to the National Science and Technology Information Service (NTIS) in reports that have Korea national science and technology standard classification codes (K-NSCC). However, considering there are more than 2000 sub-categories, it is non-trivial to choose correct classification codes without a clear understanding of the K-NSCC. In addition, there are few cases of automatic document classification research based on the K-NSCC, and there are no training data in the public domain. To the best of our knowledge, this study is the first attempt to build a highly performing K-NSCC classification system based on NTIS report meta-information from the last five years (2013-2017). To this end, about 210 mid-level categories were selected, and we conducted preprocessing considering the characteristics of research report metadata. More specifically, we propose a convolutional neural network (CNN) technique using only task names and keywords, which are the most influential fields. The proposed model is compared with several machine learning methods (e.g., the linear support vector classifier, CNN, gated recurrent unit, etc.) that show good performance in text classification, and that have a performance advantage of 1% to 7% based on a top-three F1 score.