• 정보관리연구
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• 제37권4호
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• pp.105-124
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• 2006

원자력지식경영은 한국원자력연구소에서 실제로 운영되고 있으며, IAEA에서도 INIS사무국의 적극적인 주도하에 회원국을 중심으로 활발하게 수행되고 있다. 지식경영은 사서의 업무영역으로, 전통적인 도서관 업무영역의 축소에 따른 블루오션 성격의 유망 대체업무라 볼 수 있다. 따라서 이에 대한 이해와 관심이 절실히 필요하다. INIS는 원자력을 평화적으로 사용하기 위한 국가 간의 협력에 의해 IAEA가 중심이 되어 설립된 국제적인 정보유통시스템이다. INIS는 270만 건이 넘는 원자력 관련 분야의 DB를 구축하여 이용자에게 제공한다. 국내의 INIS 활동은 INIS 입력량(세계 5위) 및 INIS2 호스트사이트 운영 등으로 IAEA에서 선도적인 역할을 담당하고 있다.

• 도서관문화
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• 제21권1호
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• pp.19-25
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• 1980

본고는 국제원자력기구(International Atomic Energy Agency: IAEA, Vienna)에서 발간하고 있는 International Atomic energy Agency Bulletin 21권 2,3 합병호(1979. 6), pp41-54에 개재된 INIS and AGRIS-Their Use and Potential in Developing Countries를 번역한 것이다.

• 정보관리연구
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• 제9권4호
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• pp.87-94
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• 1976

• 정보관리연구
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• 제7권1호
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• pp.1-6
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• 1974

• Advances in Energy Research
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• 제1권1호
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• pp.13-33
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• 2013

The present work is an attempt to provide an overview, about the status of R&D and current trends in Hydrogen Production using High Temperature Reactors. Bibliographic references from the INIS database, the Science Direct database and the NTIS database were downloaded and analyzed. Ten year data on the subject, published between 2001 and 2010, was selected for the study. Appropriate qued ry formulations on these databases, resulted in the retrieval of 621 unique bibliographic records. Using the content analysis method, all the records were analyzed. Part One of the analysis details Scientometric R&D indicators, Part Two is a subject-based analysis, grouped under: A. International Initiatives and Programmes for Hydrogen Production; B. European R&D initiatives for Hydrogen production; C. National Initiatives and Programmes for Nuclear Hydrogen Production; D. Reactor Technologies for Nuclear Hydrogen production; E. Fuel Developments; F. Hydrogen Production Processes using HTRs and G. Materials Consideration for Nuclear Hydrogen Production. The results of this analysis are summarized in the study.

• 한국도서관정보학회지
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• 제19권
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• pp.35-57
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• 1992

This study is an attempt to provide some helpful data for the design and the implementation of the expert system for the book-classification based on the analysis of various cases of the classification-expert system models. Following the introduction, the concepts and some features of an expert system were overviewed in the second chapter, on the basis of which the following concrete cases were introduced and analyzed in the third chapter : (1) ACN System for NC, (2) Expert System for NDC, (3) Expert System for UDC, (4) Herba Medica System, (5) Expert System for IPC, (6) Stratcyclode Project, (7) Expert System for Classification of INIS Database, (8) AutoBC System, and etc. In the conclusion, for the development of the classification-expert system, it was turned out that constructing a new system by using an AI language such as Prolog or LISP is more desirable than employing any one of expert system shells. Together it is necessary for the following requirements to be met : (1) The subject concept of a document elicited should be accurate. (2) Not only a domain knowledge but also the knowledge covering all the subjects should be represented in the knowledge-bases. (3) The knowledge-bases should be organized in such a way that the characteristics of the knowledge about classification should be well defined. (4) rule-base consisting of accurate rules about classification should be made. (5) It should be possible for classification code wanted to be generated immediately.