• Journal of Convergence for Information Technology
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• v.9 no.1
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• pp.12-18
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• 2019

The purpose of this study is to analyze the effects of government's R&D investment outcome on the IT industry. The analysis of R&D investment outcome developed emphasizing qualitative outcome more than quantitative outcome. However, it is still leaning on technological outcome-centered methods, having relatively little interest in inputs that actually determine the outcome. Thus, this study intends to focus on the qualitative attributes of input resources. The results of the empirical analysis can be summarized as follows. In raising technological outcome and commercialization outcome of R&D investment, more funds per researcher and numbers of researchers and a longer development period had positive effects. However, a higher ratio of doctors had positive effects only on technological outcome (papers and patents), It is believed that leading to commercialization outcome needed a long period, but the period of task development was only an average of two years. On the contrary, collaboration had negative effects on technological process, which indicates that collaboration between two organizations having conflicting interests would lead to negative effects on the outcome. The results show that the qualitative attributes of input resources have significant effects on R&D investment outcome, and imply that it is necessary to emphasize the qualitative attributes from the input stage to promote government's R&D investment outcome in the future.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2019.10a
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• pp.5-5
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• 2019

DMZ는 살아있는 생물다양성의 보고로 지난 60여년동안 자연적으로 재생이 일어나고 환경적인 강제 보존 영향으로 높은 생태학적인 가치가 유지되고 있으며, 최근에는 남북교류에 대한 활발한 의지로 DMZ생태자원의 남북공동활용 방안에 대한 이슈가 급부상하고 있다. 이에 본 연구진은 3년전부터 DMZ에서 자생하는 식물에 대한 조사를 진행하여 총 200여종 이상의 자생식물의 표본과 추출물들을 보유하고 있으며, 이 추출물들을 활용 in vitro 와 in vivo 평가를 통해 비임상 평가에서 유효한 효과를 나타내는 후보물질들을 다수 찾아낼 수 있었다. 그 중 조팝나무(Spiraea prunifolia var. simpliciflora)는 쌍떡잎식물 장미과에 속하는 낙엽활엽관목으로 동북아시아 지역에 널리 분포되며 우리나라에서는 중부지방에 주로 서식한다고 알려져 있다. 예로부터 해열 및 소염, 신경통완화 치료등에 이용해왔다고 알려져 있으며 그 속에는 다양한 terpenoids, flavonoid 및 phenolic 화합물이 다량 함유되어 있다고 알려져 있다. 본 연구에서는 조팝나무 추출물을 이용하여 전구지방세포에서의 지방세포분화 억제 및 관련 유전자들의 활성을 확인한 후 고지방식이로 유도된 high-fat diet mouse model을 이용하여 체지방 감소 및 내장지방감소, 간 조직내의 지방량 감소등을 확인하였으며, 혈액분석을 통해 총콜레스테롤과 고중성지방등 동맥경화와 심혈관계 질환을 유도시킬수 있는 지표들에서 억제 활성도 확인하였다. 특히 내장 지방의 경우는 Micro-CT를 통해 정밀한 분석을 진행하였고, 체지방뿐만 아니라 전체 체중감소도 나타나는 것을 확인하였다. 현재 실험을 통해 적출된 간 조직과 지방조직을 이용하여 항 비만 활성의 작용기전을 지속적으로 확인하고 있으며, 이 결과는 국제적인 연구저널에 보고되어 향후 체지방 감소 또는 항 비만 치료제로 개발되는 비임상 연구자료로 활용될 계획이다. 이미 조팝나무에 대한 연구결과는 특허로 출원이 완료되어 PCT출원까지 진행중에 있으며 개별인정형 건강기능식품 개발 기업에 기술이전이 될 예정이다. 또한 원활한 원료 수급을 위해 기초단체 소속 농업기술센터와 원료 재배 및 대량 수급에 관한 논의를 마친 상태로 접경지역 근처 농가소득 증대로도 이어지는 제품화 사례이기도 하다. 이는 접경지역에서 자생하는 원료의 활성을 과학적으로 검증하여 기업과의 연계를 통해 기초시군 단체의 농가 소득과도 연계한 우수한 제품개발 사례로 향후에도 이와 같은 연구성과가 지속적으로 도출되기를 기대해본다.

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