• Title/Summary/Keyword: 국가과학기술표준분류

Search Result 50, Processing Time 0.029 seconds

An Analysis on Curriculum of Library and Information Science in U.S. (미국 문헌정보학 교과과정 주제에 대한 분석 연구)

  • Choi, Sanghee;Ha, YooJin
    • Journal of the Korean Society for information Management
    • /
    • v.36 no.1
    • /
    • pp.53-71
    • /
    • 2019
  • Since new issues and topics are emerging in the information and library science fields, diverse needs are identified to enhance the curriculum of library and information science education. This study investigated curriculum of library and information science in US and identified the topics of classes in the curriculum by the three aspects such as competency areas, scientific and technology category, and research fields. Consequently, topics related various information technology including system design and implement are the most popular topics in all analyses. Library and information center management and user service are also major topics of the curriculum.

A Study on NTIS Standard Code and Classification Service Development (NTIS 표준코드 및 분류지원 서비스 개발에 관한 연구)

  • Kim, yun-jeong;Kim, tae-hyun;Lim, chul-su;Kim, jae-soo
    • Proceedings of the Korea Contents Association Conference
    • /
    • 2007.11a
    • /
    • pp.376-380
    • /
    • 2007
  • The national R&D information of ministries which define shared information related to national R&D projects has been derived. Among them, 21 percent are code items which can provide important standards to classify information and put out S&T statistics. Therefore, it is necessary to standardize the code items that are differently defined and managed by each research management specialized organization. For this, the National Science & Technology Information System(NTIS) intends to provide a clear code standard for the national R&D information of ministries by defining the NTIS Standard Code. In this study, we also describe the classification service to manage the NTIS Standard Code, National Standard Science and Technology Classification Codes which have been used for national R&D projects's survey and analysis as a unified way.

  • PDF

Standard Classification System of Marine Research Facility and Equipment for an Integrated Management (통합관리를 위한 해양연구시설·장비 표준분류체계)

  • RHO, TAEKEUN
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
    • /
    • v.25 no.4
    • /
    • pp.132-159
    • /
    • 2020
  • As multidisciplinary marine research is actively conducted, various types of marine research facilities and equipment are purchased every year. However, among marine research facilities and equipment, it is difficult to classify and manage various types of field observation equipment used for environmental data collection and sample collection under the current national research facility and equipment standard classification system. In the case of Korea Institute of Ocean Science and Technology, about 30% of research facilities and equipment are unclassified and not properly managed. In this study, marine research facilities and equipment are classified into 7 middle and 36 sub-classes according to their characteristics. It is proposed to add a large classification group called 'Environmental Observation/Analysis Equipment', to the national research facility equipment standard classification system. In addition, it is proposed to classify the equipment operated in the laboratory among marine research facilities and equipment according to the existing national research facility equipment standard classification system. Through this, it is expected that all of Korea's marine-related research facilities and equipment can be systematically classified and managed effectively.

On the Standard Taxonomic System of Science and Technology (과학기술 표준분류의 결정문제)

  • Lee Cho-Sik
    • Journal of Science and Technology Studies
    • /
    • v.2 no.1 s.3
    • /
    • pp.1-38
    • /
    • 2002
  • Recently KISTEP(Korea Institute of Science and Technology Evaluation and Planning) held an open forum for examining 'the Manuscript of National Science and Technology Standard Taxonomic System'. I submitted my opinion letter to the forum because I thought that the matter of setting the standard taxonomic system for Science and Technology is so closely related to the research concern of STS that it needs checking from the viewpoint of STS. This paper primarily focuses on making a criticism of and constructing an alternative to the mamuscript, but it goes so far as to ground the matter upon the STS viewpoint. I propose that we interpret an open forum related to science and technology as an example case of the community of inquiry. Further I try, standing in the context of learning to form a model of doing STS interdisciplinary research. In the context of decision I point out the problem with the 'scale' principle involved in categrizing criteria of the taxonomic system and argue that the problem leads to omitting STS from National Science and Technology Standard Taxonomic System although STS takes up science and technology themselves as its research concern proper. In the context or teaming I seek to set up a typical case study or STS. One of the typical STS research tasks is trying to construct a positive alternative to as well as make a criticism of a given suggestion, for clearer alternatives will, in him, provoke sharper criticisms or safer acceptances. I hope that the model in this paper will exemplify such an alternating procedure of criticism and acceptance.

  • PDF

Recommendation System for Research Field of R&D Project Using Machine Learning (머신러닝을 이용한 R&D과제의 연구분야 추천 서비스)

  • Kim, Yunjeong;Shin, Donggu;Jung, Hoekyung
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.25 no.12
    • /
    • pp.1809-1816
    • /
    • 2021
  • In order to identify the latest research trends using data related to national R&D projects and to produce and utilize meaningful information, the application of automatic classification technology was also required in the national R&D information service, so we conducted research to automatically classify and recommend research field. About 450,000 cases of national R&D project data from 2013 to 2020 were collected and used for learning and evaluation. A model was selected after data pre-processing, analysis, and performance analysis for valid data among collected data. The performance of Word2vec, GloVe, and fastText was compared for the purpose of deriving the optimal model combination. As a result of the experiment, the accuracy of only the subcategories used as essential items of task information is 90.11%. This model is expected to be applicable to the automatic classification study of other classification systems with a hierarchical structure similar to that of the national science and technology standard classification research field.

A Study on Automatic Recommendation of Keywords for Sub-Classification of National Science and Technology Standard Classification System Using AttentionMesh (AttentionMesh를 활용한 국가과학기술표준분류체계 소분류 키워드 자동추천에 관한 연구)

  • Park, Jin Ho;Song, Min Sun
    • Journal of Korean Library and Information Science Society
    • /
    • v.53 no.2
    • /
    • pp.95-115
    • /
    • 2022
  • The purpose of this study is to transform the sub-categorization terms of the National Science and Technology Standards Classification System into technical keywords by applying a machine learning algorithm. For this purpose, AttentionMeSH was used as a learning algorithm suitable for topic word recommendation. For source data, four-year research status files from 2017 to 2020, refined by the Korea Institute of Science and Technology Planning and Evaluation, were used. For learning, four attributes that well express the research content were used: task name, research goal, research abstract, and expected effect. As a result, it was confirmed that the result of MiF 0.6377 was derived when the threshold was 0.5. In order to utilize machine learning in actual work in the future and to secure technical keywords, it is expected that it will be necessary to establish a term management system and secure data of various attributes.

Analysis of KSIC of Korea Patent Data in the Field of Disaster & Safety (재난안전분야 국내 특허문헌의 표준산업분류 분석)

  • You, Beom-Jong;Kim, Byungkyu;Shim, Hyoung-Seop
    • Proceedings of the Korean Society of Computer Information Conference
    • /
    • 2022.07a
    • /
    • pp.541-544
    • /
    • 2022
  • 재난안전분야 연구 및 기술개발을 위한 현황분석 및 동향파악을 위해 연구개발활동의 주요 성과물인 특허정보의 활용은 매우 중요하다. 본 논문에서는 재난안전분야 국내 특허문헌을 대상으로 산업분야별 현황 및 특성을 분석하였다. 분석연구를 위해 재난안전분야 키워드를 포함하고 표준산업분류 매핑이 가능한 국내 특허정보를 식별하여 데이터셋으로 사용하였다. 분석 결과, 표준산업분류 체계의 산업분야 레벨별 특허 분포 현황 및 출원기관 분포 현황과 산업분야별 핵심 키워드가 자세히 파악되었다. 연구결과는 국가 재난대응을 위한 지능형 위기경보 체계 등을 개발하기 위한 정보 자원으로 활용이 기대되며, 향후 논문, 보고서를 통합한 포괄적인 재난안전분야 문헌 분석 연구가 필요하다.

  • PDF

A Practical Scheme for the Classification of On-line Information Resources on Science and Technology (온라인 과학기술정보자원의 분류체계에 대한 실천적 구성방안)

  • Kim, You-Eil;Choi, Sung-Bae;Koo, Young-Duk
    • Journal of Information Management
    • /
    • v.37 no.4
    • /
    • pp.125-139
    • /
    • 2006
  • The advent of the internet has caused a number of changes in production and dissemination of science and technology information(STI). STI was mainly produced in the form of publication before the advent of the internet. The popularization of the internet, however, has induced the mass production and distribution of STI through the internet. In consequence, the importance and usefulness of on-line STI have become on a level with those of published STI. The rapid growth of quantity and quality of on-line STI forces information service organizations try their best for improving the service satisfaction. In an effort to improve the satisfaction, researchers on information management examined the classification of information resources by exploring the counterparts of bibliography and/or web information service. We examined the national standard of the classification related to science and technology and proposed a practical scheme for the classification of on-line STI resources.