• Journal of Information Management
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• v.33 no.1
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• pp.61-80
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• 2002

The purpose of this study was to investigate the current state of foreign online databases in the field of Science and Technology. Evaluation of databases is becoming increasingly important for information users and for information providers as well. Previous research studies on evaluation of Science & Technology databases were summarized. This paper examined major online databases of Science & Technology with a short annotation. And the results of analysis by subject fields, by publishers, by frequency, by online availability of 618 titles were also described.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.743-745
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• 2022

본 논문에서는 국내 학술지 평가 체계 중, 과학기술 학술지 평가인 과학기술단체총연합회(이하 과총) 학술지 평가 요소에 대해 고찰하고, 평가 요소 중 정보화 요소 항목에 대한 개선사항을 제안한다. 저자가 제안하는 과총 학술지 평가 정보화 요소 개선사항은 국내 과학기술 연구자들의 노력에 따른 연구결과물을 더욱 쉽게 접근할 수 있도록 하고, 인용확대를 더욱 활성화 할 수 있도록 하여, 학술지 위상제고에 도움을 줄 수 있다. 국내 학술지가 갖추어야 할 학술정보 본문 편집 규정과 그에 따른 국내 학술지 평가 항목 중 연구자 식별정보인 ORCID, 논문 이력정보 등의 정보화 요소를 살펴보고, KISTI의 DOI 등록관리시스템과 코리아사이언스에 반영한 사례를 제시하면서 결론을 도출한다.

• Journal of Information Management
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• v.33 no.1
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• pp.31-47
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• 2002

The main purpose of this research is to look into not only how users evaluate two major databases(BIST and SATURN) of the scientific and technical literature in Korea, but also what users expect from scientific and technical information services in general. The result of the user evaluation shows that there is a very little difference between two databases in database quality. It was found that BIST is better than SATURN in terms of accuracy, customer support, searching capability, and currency, whereas SATURN is preferred to BIST for completeness and the average number of retrieved items. User expectation for scientific and technical information is also investigated by surveying its user community. Among three user groups, there is notable disagreement in language uses to search non-korean literature. Each group also shows different demands for translation of original literature. This study attempted to evaluate the quality of the scientific and technical information (BIST and SATURN) and simultaneously to investigate users demands in general. By doing so, the specificity implied in quality evaluation of specific information services as well as the generalization of the users behaviors in scientific and technical community were accommodated in this study.

• Journal of Information Management
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• v.43 no.2
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• pp.1-22
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• 2012

The purpose of this study is to provide a theoretical basis for archiving the digital contents in Science and Technology. We first examined the evaluation criteria for archiving different types of digital contents by using quantitative research methods, like a user survey. We then further investigated how participants perceived each evaluation criterion by adopting qualitative research methods, like a focus group discussion. Also, we presented an evaluation model for setting up the priority of digital archiving among various types of digital contents.

• Journal of Information Management
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• v.12 no.2
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• pp.36-52
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• 1979

• Journal of Scientific & Technological Knowledge Infrastructure
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• s.7
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• pp.44-54
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• 2001

21세기에 들어 세계경제는 지식기반경제로 급격히 발전하고 있으며 이에 따라 국가기술혁신의 필요성이 커지고 있다. 급격한 기술발전의 추세와 R&D분야에서의 한정된 자원을 고려하면 선진국과의 기술 격차를 줄이기 위한 기술이전의 활성화는 우리나라의 당면과제라 할 수 있다. 본 고에서는 기술이전의 인프라인 기술이전 정보유통의 국내외 상황과 한국과학기술정보연구원에서 추진중인 국제기술시장에 대한 소개, 그리고 이러한 제반 상황하에서 국내 기술이전 정보유통의 발전적인 대안과 지식정보를 활용하고 지원할 수 있는 기술가치평가 시스템의 개발에 관한 내용을 소개하고자 한다. 정형화된 특허정보와 기술에 의한 제품시장정보를 제공함으로써 기술의 잠재사업이익 추정을 지원하며, 산업특성 및 기술혁신단계를 분석하여 기술기여도를 산출하고, 실물옵션법을 이용하여 최종 기술가치를 산출하는 단계로 개발된 기술가치평가 시스템을 소개하였다.

• Journal of Korean Library and Information Science Society
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• v.33 no.3
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• pp.133-152
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• 2002

The purpose of this study is to propose the criteria for evaluating web information resources. This study also attempts to get a sense of the overall quality of web information resources and to identify the relationship among the criteria, Particularly those on the science and technology. Three evaluation categories are Proposed; information content functionality or workability, and design. Core features of information content includes authority, relevancy, currency; functionality includes navigation, user support technical requirements; layout and design includes visual appearance. Based on the proposed criteria, the 50 sample web resources selected from 5 different field were evaluated. The results showed that the web information resources on the Electrical and Electronic Engineering field was excellent. The Pearson's correlation coefficient between evaluation criteria showed that information content and functionality had a negative relationship, on the other hand functionality and design had a moderate correlation.

• Journal of Information Management
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• v.32 no.3_4
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• pp.123-145
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• 2001

The purpose of this study is to develop technology valuation system for technology transfer, which is using and supporting knowledge information. The valuation system comprises estimation of latent business profit by supporting formatted patent and technology-products market information, analysis of contribution profit by using industrial standard and innovation step and value of technology by using a real option equation. This study suggests a successful system in order to valuate the technologies quantitatively, and to use and support knowledge information from KISTI databases or other selected internet Information.

• Journal of Information Management
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• v.33 no.4
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• pp.107-128
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• 2002

The purpose of this study is developing a information support system for R&D decision making to maximize economic results of the R&D. This system is composed of studying the model of work flow for R&D decision making, analyzing a technology information, connecting with the databases from KISTI and others, and valuing R&D technology on line. Especially in the case of technology valuation, this system is combined with the valuation model which supports knowledge information for helping more objective estimation.

• Annual Conference on Human and Language Technology
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• 2023.10a
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• pp.704-706
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• 2023

이 논문에서는 과학기술분야 특화 한국어 사전학습 언어모델인 KorSciDeBERTa를 소개한다. DeBERTa Base 모델을 기반으로 약 146GB의 한국어 논문, 특허 및 보고서 등을 학습하였으며 모델의 총 파라미터의 수는 180M이다. 논문의 연구분야 분류 태스크로 성능을 평가하여 사전학습모델의 유용성을 평가하였다. 구축된 사전학습 언어모델은 한국어 과학기술 분야의 여러 자연어처리 태스크의 성능향상에 활용될 것으로 기대된다.