• Proceedings of the Korea Contents Association Conference
• /
• 2014.11a
• /
• pp.279-280
• /
• 2014

기업이 원하는 R&D정보를 추출하기 위해서는 R&D정보 검색에 활용할 질의어가 있어야 한다. 먼저 구축되어야 한다. 기업마다 관심있는 제품과 기술 키워드가 각각 다르다. 기업에 적합한 R&D정보를 생성하기 위해 질어어로 사용될 기업을 대표하는 키워드 군을 생성하고자 한다. 본 논문에서는 2002년부터 기업이 수행한 국가 R&D과제정보와 과제에서 도출된 논문, 특허, 연구보고서 등 성과정보로 부터 기업을 대표하는 키워드를 추출하고 이를 웹에서 크롤링한 기업정보와 비교하여 기업 대표 키워드 데이터베이스를 구축하는 방안에 대해 논한다.

• Journal of Intelligence and Information Systems
• /
• v.21 no.4
• /
• pp.79-92
• /
• 2015

Knowledge map is widely used to represent knowledge in many domains. This paper presents a method of integrating the national R&D data and assists of users to navigate the integrated data via using a knowledge map service. The knowledge map service is built by using a lightweight ontology and a topic modeling method. The national R&D data is integrated with the research project as its center, i.e., the other R&D data such as research papers, patents, and reports are connected with the research project as its outputs. The lightweight ontology is used to represent the simple relationships between the integrated data such as project-outputs relationships, document-author relationships, and document-topic relationships. Knowledge map enables us to infer further relationships such as co-author and co-topic relationships. To extract the relationships between the integrated data, a Relational Data-to-Triples transformer is implemented. Also, a topic modeling approach is introduced to extract the document-topic relationships. A triple store is used to manage and process the ontology data while preserving the network characteristics of knowledge map service. Knowledge map can be divided into two types: one is a knowledge map used in the area of knowledge management to store, manage and process the organizations' data as knowledge, the other is a knowledge map for analyzing and representing knowledge extracted from the science & technology documents. This research focuses on the latter one. In this research, a knowledge map service is introduced for integrating the national R&D data obtained from National Digital Science Library (NDSL) and National Science & Technology Information Service (NTIS), which are two major repository and service of national R&D data servicing in Korea. A lightweight ontology is used to design and build a knowledge map. Using the lightweight ontology enables us to represent and process knowledge as a simple network and it fits in with the knowledge navigation and visualization characteristics of the knowledge map. The lightweight ontology is used to represent the entities and their relationships in the knowledge maps, and an ontology repository is created to store and process the ontology. In the ontologies, researchers are implicitly connected by the national R&D data as the author relationships and the performer relationships. A knowledge map for displaying researchers' network is created, and the researchers' network is created by the co-authoring relationships of the national R&D documents and the co-participation relationships of the national R&D projects. To sum up, a knowledge map-service system based on topic modeling and ontology is introduced for processing knowledge about the national R&D data such as research projects, papers, patent, project reports, and Global Trends Briefing (GTB) data. The system has goals 1) to integrate the national R&D data obtained from NDSL and NTIS, 2) to provide a semantic & topic based information search on the integrated data, and 3) to provide a knowledge map services based on the semantic analysis and knowledge processing. The S&T information such as research papers, research reports, patents and GTB are daily updated from NDSL, and the R&D projects information including their participants and output information are updated from the NTIS. The S&T information and the national R&D information are obtained and integrated to the integrated database. Knowledge base is constructed by transforming the relational data into triples referencing R&D ontology. In addition, a topic modeling method is employed to extract the relationships between the S&T documents and topic keyword/s representing the documents. The topic modeling approach enables us to extract the relationships and topic keyword/s based on the semantics, not based on the simple keyword/s. Lastly, we show an experiment on the construction of the integrated knowledge base using the lightweight ontology and topic modeling, and the knowledge map services created based on the knowledge base are also introduced.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.13 no.8
• /
• pp.1623-1636
• /
• 2009

A currently domestic governmental R&D business is early to 100. And this is each managed individually in 15 professional organizations of research and management by characteristics of a business. For this Reason, A redundant investment issue regarding national R&D occurs, and an issue regarding efficiency of R&D investment by insufficiency of systematic R&D research project and result management is continuously raised. Ministry of Education Science and Technology establishing National Science & Technology Information Service(NTIS) in order to solve these issues. NTIS is the national R&D Portal System which can support efficiency of research and development to result utilization in planning of national research and development. As data of the same meaning are named particularly in each organizations, and that made to different data types, It is an issue to be difficult to achieve high level qualify, accuracy of integrated data in case of integration of distributed data like NTIS In this paper We consider integrated DB constructions and Information Linking of R&D Participants/Projects/Results information in a NTIS system for data qualify Improvement, and then We analyze the cause of the data quality problem, and we propose the improvement plan for data quality elevation of NTIS system.

• Journal of Korea Technology Innovation Society
• /
• v.12 no.3
• /
• pp.614-637
• /
• 2009

To enhance the efficiency of national R&D programs, it is the most important thing to establish the optimized evaluation system. This is because the distorted evaluation could be an obstacle to select the best suited research team and lead the desirable research result. In current evaluation process of national R&D program, it is the most frequently used method for eliminating an evaluator's biased view to exclude both the maximum and minimum scores. However, there are several limitations in this stereotype method. Therefore, this study analyzes some real cases to derive the problems from the stereotype method and then recommends the complementary alternatives which can enhance the reliability of the evaluation system for national R&D programs. The results acquired from this study seem to be helpful to increase the agreement of the applicants on the evaluation results and ultimately to maximize the efficiency of national R&D program. In addition, they can be applied to various field with respect to the methodology for ranking decision.

• Journal of Internet Computing and Services
• /
• v.24 no.6
• /
• pp.31-39
• /
• 2023

The purpose of this study is to propose a scientific performance evaluation framework for measuring and managing the overall outcome of complex types of projects that are linked to public demand-based commercialization, such as information system projects and public procurement, in integrated national R&D projects. In the case of integrated national R&D projects that involve multiple research institutes to form a single final product, and in the case of demand-based demonstration and commercialization of the project results, the existing evaluation system that evaluates performance based on the short-term outputs of the detailed tasks comprising the R&D project has limitations in evaluating the mid- and long-term effects and practicality of the integrated research products. (Moreover, as the paradigm of national R&D projects is changing to a mission-oriented one that emphasizes efficiency, there is a need to change the performance evaluation of national R&D projects to focus on the effectiveness and practicality of the results.) In this study, we propose a performance evaluation framework from a structural perspective to evaluate the completeness of each national R&D project from a practical perspective, such as its effectiveness, beyond simple short-term output, by utilizing the Hourglass model. In particular, it presents an integrated performance evaluation framework that links the top-down and bottom-up approaches leading to Tool-System-Service-Effect according to the structure of R&D projects. By applying the proposed detailed evaluation indicators and performance evaluation frame to actual national R&D projects, the validity of the indicators and the effectiveness of the proposed performance evaluation frame were verified, and these results are expected to provide academic, policy, and industrial implications for the performance evaluation system of national R&D projects that emphasize efficiency in the future.

• Journal of Korea Technology Innovation Society
• /
• v.18 no.4
• /
• pp.621-640
• /
• 2015

The aim of this study is to provide evidence of how a change in the process of calculating the economic valuation of a project can affect the decision regarding national R&D investment. The paper examines a R&D project of cooperative research program of university-industry-research institute for the construction of a woodchip power plant to explore the role of capital expenditure in the economic evaluation of an investment project. The paper finds that the simple introduction of capital expenditure in the profitability analysis affects the perspectives on the construction plan. The results of this study indicate that standardization of the calculation process that takes different characteristics of industries into account is needed in the preliminary feasibility study of national R&D projects.

• Journal of Energy Engineering
• /
• v.23 no.3
• /
• pp.42-50
• /
• 2014

Korean government has been investing more than 400 billion KRW in R&D on renewable energy. This paper aims to measure the R&D efficiency of national R&D program in the field of renewable energy, and to identify the sources of inefficiency. 4,213 R&D projects supported by Korean government during 2009-2011 are analyzed by using Data Envelopment Analysis and statistical tests. Results implies as follows. First, hydrogen, bio, fuel cell, photovoltaic have higher R&D efficiency than other renewable energies. Second, universities conducted national R&D program more efficiently than firms did, and small and medium sized enterprises are more efficient than large sized enterprises. Third, R&D inefficiency is mainly caused by the lacks of patent performance rather than excessive R&D investment or academic paper performance.

• Proceedings of the Korea Contents Association Conference
• /
• 2011.05a
• /
• pp.493-494
• /
• 2011

국내에서의 NTIS의 높은 인지도와 달리 해외에서 세계 최초의 국가R&D정보 종합포털로서의 NTIS의 인지도는 전무한 현실이다. 한국과학기술정보연구원에서는 2010년도부터 이러한 문제를 인식하여 NTIS 브랜드의 국제화 및 국내 외 홍보강화를 통해 국내 외 협업 공동연구 활성화를 촉진하고 이를 통한 고부가가치 연구성과의 창출 확산을 위하여 NTIS 영문포털 서비스를 개발하여 서비스 중이다. NTIS에서 제공 중인 주요 서비스에 대한 소개, 과제, 연구자 영문이력정보, 및 영문초록 정보 등 다양한 정보를 제공하고 있으며 2011년도에는 EU의 CORDIS, 미국의 NSF등과의 연계체계 구축을 통해 국내 연구자들에게 주요국의 R&D정보를 제공할 예정이다. 본 논문에서는 NTIS 영문포털의 개요 및 향후 발전방향에 대하여 논하고자 한다.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2004.05a
• /
• pp.185-188
• /
• 2004

국가개발사업 연구개발관리차원에 대한 패러다임은 객관적 연구과제의 선정 ${\cdot}$ 진도관리 ${\cdot}$ 성과관리 중심에서 기술수요조사 및 예측, 자원배분 등 사전기획과 같은 R&D 전략수립 방향으로 변화하고 있다. 본 연구에서는 생명공학분야를 중심으로 미래 유망기술의 R&D 전략수립을 위한 절차를 제시한다. 먼저 전체과제의 중요도와 연구개발수준을 고려한 포트폴리오 구성을 위해서는 델파이방법을 사용하였다. 다음으로 앞으로 시급히 연구개발에 착수해야할 과제들의 우선순위를 설정하기 위해 AHP방법을 사용하였다.

• Proceedings of the Korea Technology Innovation Society Conference
• /
• 2017.05a
• /
• pp.537-547
• /
• 2017

현재 우리나라의 GDP 대비 R&D 투자 규모는 세계최고의 수준에 이르렀다. 이러한 연구개발 예산의 양적인 확대 및 성장과 함께 상대적으로 연구개발 예산의 효율적 활용이 중요한 과학기술정책 이슈로 부각되고 있다. 본 연구는 정부 R&D사업 유사영역의 효율성 제고를 위한 정책, 전략의 수립 및 실행의 의사결정을 돕는 데이터 기반의 객관적인 지표들을 제시하였다. 그 후 본 연구에서 제시한 효율성 지표들을 NTIS에서 추출한 2015년 정부출연연구기관 R&D 사업 데이터와 연계하여 실질적으로 측정과 사용이 가능한 정량적 지표들만을 따로 선별하였다. 또한 정부 R&D사업 효율성 지표들의 가중치를 측정하기 위하여 계층분석기법(analytic hierarchy process)을 수행하였으며 계층분석기법의 결과로 나온 가중치를 효율성 지표들에 적용하여 과제 우선순위를 도출하였다. 이를 통해 정책의 수립, 실행 및 조정 시 고려해야 할 지표의 우선순위를 설정하여 유사연구영역 관련 정부 R&D 정책수립에서 실행까지의 연계를 강화시키고 국가적으로 한정된 자원의 효율적 사용을 위한 방안을 제시하였다.