• Journal of the Korean Data and Information Science Society
• /
• 제25권6호
• /
• pp.1161-1170
• /
• 2014

오늘날과 같은 글로벌 경쟁에서는 전통지식, 전통문화표현물, 유전자원 등과 같은 새로운 분야의 지식재산이 중요한 자산으로 인식되고 있다. 이와 함께 우리나라의 문화콘텐츠, 브랜드, 디자인 등 지식재산의 총체적 경쟁력 확보가 시급한 실정이다. 이에 본 연구에서는 2014년 이후 발효예정인 나고야의 정서에 의해 향후 다양하게 파생될 이익 공유 문제와 지적재산권 분쟁에 대비할 수 있도록 하기 위하여, 우리나라 중부지방 문헌 전통지식 2,047건과 구전 전통지식 931건을 대상으로 전처리 과정을 거쳐 200건의 전통지식을 선정하였다. 이들을 대상으로 양적 연구방법인 델파이 (Delphi) 조사를 활용하여 우선순위 상위 50건의 전통지식을 선정하였다. 선정된 50건 중 문헌 전통지식은 30건, 구전 전통지식은 20건으로 나타났다. 본 연구의 결과는 향후 포커스그룹인터뷰 등과 같은 질적 조사연구의 기본 자료로 활용될 수 있을 것이다. 나아가 선정된 전통지식은 향후 유효 공표 (특허를 위한 선행성 확보)를 통하여 국제사회에서 인정받을 수 있는 우리나라 생물 전통지식의 자산 확보 등에 크게 기여할 수 있다는 점 등에 본 연구의 의의가 있다.

• 간호행정학회지
• /
• 제6권3호
• /
• pp.357-374
• /
• 2000

The purpose of this study was to validate knowledge outcomes included Nursing Outcomes Classification(NOC) developed by Johnson and Maas at the University of Iowa. A sample of 71 nurse experts working in university affiliated hospitals participated in this study. They were asked to rate indicators that examplified the outcomes on a scale of 1(indicator is not all characteristic) to 5(indicator is very characteristic). A questionnaire with an adaptation of Fehring's methodology was used to establish the content validity of outcomes. The results were as follow: 1. All indicators were considered to be 'supporting' and no indicators were considered to be 'nonsupporting'. 2. 'Knowledge: Treatment Regimen' attained and OCV score of 0.816 and was the highest OCV score among outcomes. 3. 'Knowledge: Energy Conservation' attained an OCV score of 0.748 and was the lowest OCV score among abuse outcomes. 4. 'Knowledge: Breastfeeding' attained an OCV score of 0.790 and was the highest indicator was 'description of benefits of breastfeeding'. 5. 'Knowledge: Child Safety' attained an OCV score of 0.778 and was the highest indicator was 'demonstration of first aids techniques'. 6. 'Knowledge: Diet' attained an OCV score of 0.779 and was the highest indicator was 'performance of self-monitoring activities'. 7. 'Knowledge: Disease Process' attained an OCV score of 0.815 and was the highest indicator was 'description of signs and symptoms'. 8. 'Knowledge: Health Behaviors' attained an OCV score of 0.800 and was the highest indicator was 'description of safe use of prescription drugs'. 9. 'Knowledge: Health Resources' attained an OCV score of 0.794 and was the highest indicator was 'description of need for follow-up care'. 10. 'Knowledge: Infection Control' attained an OCV score of 0.793 and was the highest indicator was 'description of signs and symptoms'. 11. 'Knowledge: Medication' attained an OCV score of 0.789 and was the highest indicator was 'description of correct administration of medication'. 12. 'Knowledge: Personal Safety' attained an OCV score of 0.804 and was the highest indicator was 'description of measures to reduce risk of accidental injury'. 13. 'Knowledge: Prescribed Activity' attained an OCV score of 0.810 and was the highest indicator was 'proper performance of exercise'. 14. 'Knowledge: Substance Use Control' attained an OCV score of 0.809 and was the highest indicator was 'description of signs of dependence during substance withdrawl'. 15. 'Knowledge: Treatment Procedure(s)' attained an OCV score of 0.795 and was the highest indicator was 'description of appropriate action for complications'. 16. 'Knowledge: Treatment Regimen' attained an OCV score of 0.816 and was the highest indicator was 'description of self-care responsibilities for emergency situations'. More outcomes need to be validated and outcomes sensitive to Korean culture need to be developed.

• 한국자원식물학회지
• /
• 제30권6호
• /
• pp.623-639
• /
• 2017

We investigated traditional knowledge about ethnobotanical uses around national parks in the northern areas of Province Gyeongsangbuk-do, with the focus on the Sobeaksan National Park area. Interviews were carried out to 138 residents at 42 places from 7 counties and/or cities, and verified species and usage information were categorized by taxonomic groups, usage, and used parts. The ethnobotanical species of the regions consisted of a total of 277 taxa: 244 species, 3 subspecies, 28 varieties, and 2 forma in 213 genera of 79 families. The significant native plants included one Endangered Species (Paeonia obovata Max.) and four endemic species (Salix hallaisanensis H. Lev., Aconitum pseudolaeve Nakai, Paulownia coreana Uyeki, and Cirsium setidens (Dunn) Nakai, Sasa coreana Nakai). About 17 Approved Species for Delivering Overseas designated by Korea Ministry of Environment have been also traditionally valuable in the regions. The main usage of the plants were edible (185 taxa) and medicinal (175 taxa). Leaves were most commonly used parts (109 taxa), followed by stems (73 taxa), fruits (69 taxa), roots (67 taxa), and wholes (57 taxa). The traditional usage of plants were diverse as those useful parts. Leaves, fruits and seeds were used as edible and medicinal; sprouts (young shoots) were mainly used as edible; but roots and flowers were used as medicinal. The study does not only provides examples of traditional uses of native plants, but also facilitates sustainable managements and developments of ethnobotanical knowledge for the contemporary society.

• 한국컴퓨터정보학회논문지
• /
• 제23권12호
• /
• pp.211-218
• /
• 2018

In this paper, we propose that investigating the relationship between the dynamic capacity and the technological innovation performance of firms. Based on the previous research, we divide the dynamic capacity into the adaptive capacity, absorption capacity, and productive capacity. Among the 3,400 companies responding to the technical statistics of SMEs in 2011, we performed multiple regression analysis with 2,807 except service industries. As a result, the absorptive capacity and productive capacity have a positive effect on the technological innovation performance at the 99% level, whereas the adaptive capacity has a negative effect on the technological innovation performance at the 95% level. The implications of this study are as follows. First, in order to improve the performance of technological innovation, it is important to strengthen the absorption capacity and productive capacity of companies. Absorption capacity shows that it is important to secure sufficient R & D manpower and R & D cost to utilize internal knowledge as well as to bring outside knowledge into the capacity to assimilate and utilize external knowledge. Second, the ability to commercialize a product is a capability to commercialize a technology that has succeeded in development, showing that the technology development organization must have the capability of post-development commercialization as well as technology development. Finally it shows the negative effect on adaptation capacity and innovation performance. Companies actively utilize external sources of information in order to respond to and adapt to the rapidly changing business environment. However, the results of this study show that a strategic approach is needed to use external sources of information and technology development resources. Especially as the use of external information resources and technology development resources increases.

• 정보관리학회지
• /
• 제28권2호
• /
• pp.117-133
• /
• 2011

국내 과학기술전반에 걸쳐 주제분야별로 해외 학술지 인용비율 즉 해외 학술지 영향력에 대한 종합적인 분석은 부족한 실정이며 가장 큰 원인은 종합 분석이 가능한 국내 학술지에 대한 대규모 인용색인 데이터베이스의 부재였다. KISTI는 한국 과학기술 인용색인 데이터베이스인 KSCD를 구축하고 한국과학기술인용색인서비스(KSCI)를 제공하고 있다. 본 논문에서는 국내 과학기술분야 핵심 학술지를 포괄하는 KSCD를 활용하여 국내 과학기술분야 연구자들의 해외 학술지 인용행태에 대한 분석 연구를 수행하였다. 연구 범위는 첫째, 해외 인용문헌의 형태별 분석을 둘째, 해외 학술지 인용문헌의 주제별 피인용수 및 타분야 인용비율 분석을, 셋째, 해외 학술지 인용문헌의 언어 및 발행국가 분석을, 넷째, 해외 학술지 발행기관 및 글로벌 인용색인 서비스 등재현황 분석을 마지막으로 국내의 해외 전자저널 구독 현황 분석이다. 해외학술지 인용분석을 통한 연구의 주요성과로는 해외 인용 학술지의 인용절정기(평균 3.9년), 반감기(평균 9년)의 규명과 한국 연구자들이 주로 해외등재학술지를 인용하며 국내에서 인용 해외등재학술지의 90%정도가 전자저널로 구독되고 있음을 밝힌 점이다. 본 연구를 통한 국내 과학자들의 해외 학술지 인용행태 분석 결과는 해외 전자저널 구독 전략 수립에 도움이 될 수 있을 것으로 기대된다.

• 한국컴퓨터정보학회논문지
• /
• 제21권5호
• /
• pp.11-18
• /
• 2016

Linked Data is a web standard data definition method devised to connect, expand resources with a standardized type. Linked Data built in various areas expands existing knowledge through an open data cloud like LOD(Linked Open Data). A project to link and service existing knowledge through LOD is under way worldwide. However, LOD project in domestic is being participated in a specific field to the level of research. In this paper, we suggests a method to build the area of technical knowledge like legislations in type of Linked Data, and distribute such Linked Data built to LOD. The construction method suggested by this paper divides knowledge of legislations in structural, semantic, and integrated perspective, and builds each of them by converting to Linked Data according to the perspective. Also, such built Linked Legal Data prepares to link knowledge in a standardized type by distributing them onto LOD. Built Linked Legal Data are equipped with schema for link service in various types, and give help increase understand the access type to existing legal information.

• 한국수학교육학회지시리즈A:수학교육
• /
• 제52권2호
• /
• pp.163-174
• /
• 2013

This study conducted a survey to examine the knowledge formation and utilization of computer among beginning teachers of secondary school mathematics. We found that beginning teachers who had more experiences of taking computer utilization classes at teacher education institutes showed more interest in computer and saw the necessity and effectiveness of computer usage for teaching students. Teachers chose GSP the most among computer utilization knowledge learned in pre-service teachers program, and GSP is used the most in mathematics classes. However, they answered that computer is not so much available in class due to lack of hours and the relevant resources. Lastly, beginning teachers answered that the computer knowledge learned in in-service teacher program was more useful than that in pre-service. Thus, the professional development in utilizing computer should be improved through diversifying teacher training contents for beginning teachers as well as for pre-service teachers in teacher education institutes.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제5권10호
• /
• pp.1698-1711
• /
• 2011

Knowledge is often represented as a set of rules or a semantic network in intelligent systems. Recently, ontology has been widely used to represent semantic knowledge, because it organizes thesaurus and hierarchal information between concepts in a particular domain. However, it is not easy to collect semantic relationships among concepts. Much time and expense are incurred in ontology construction. Collective intelligence can be a good alternative approach to solve these problems. In this paper, we propose a collective intelligence approach of Games With A Purpose (GWAP) to collect various semantic resources, such as words and word-senses. We detail how to construct the semantic information model or ontology from the collected semantic resources, constructing a system named FunWords. FunWords is a Korean lexical-based semantic resource collection tool. Experiments demonstrated the resources were grouped as common nouns, abstract nouns, adjective and neologism. Finally, we analyzed their characteristics, acquiring the semantic relationships noted above. Common nouns, with structural semantic relationships, such as hypernym and hyponym, are highlighted. Abstract nouns, with descriptive and characteristic semantic relationships, such as synonym and antonym are underlined. Adjectives, with such semantic relationships, as description and status, illustration - for example, color and sound - are expressed more. Last, neologism, with the semantic relationships, such as description and characteristics, are emphasized. Weighting the semantic relationships with these characteristics can help reduce time and cost, because it need not consider unnecessary or slightly related factors. This can improve the expressive power, such as readability, concentrating on the weighted characteristics. Our proposal to collect semantic resources from the collective intelligence approach of GWAP (our FunWords) and to weight their semantic relationship can help construct the semantic information model or ontology would be a more effective and expressive alternative.

• 농촌계획
• /
• 제18권4호
• /
• pp.103-115
• /
• 2012

There are many attempts to develop rural areas by the use of local resources. Local industrialization is a well-known means to found industrialization by the local people using specialized local resources. However, there are many difficulties local people face in the industrialization of these local resources. This is mainly due to local people's lack of experience and knowledge in the development of these resources and the foundation of industrialization in these rural areas require further assistant. This thesis intends to examine the local conditions in order to represent the possibilities and limitations of the industrialization in the use of local resources, Gokseong cotton. We will further suggest various methods & means of these applications and illustrate the efficient approach to development scheme.

• 한국경제지리학회지
• /
• 제19권3호
• /
• pp.566-582
• /
• 2016

본 연구는 기술지식의 융 복합화로 인해 특정 산업에서 다른 부분으로 영역이 확장되는 양상을 확인하는 것으로, 비수도권 농촌 지역인 전라북도 순창군의 장류산업을 중심으로 분석하였다. 이를 위해 특허출원 자료를 이용하여 기술융합분석과 지식네트워크분석을 실시하였다. 분석 결과, 국내 장류산업은 단순 식품, 식료품 제조 기술에서 기계 기기나 의약품 및 화장품 관련 기술로 폭넓게 융합이 이루어지는 반면 순창군의 장류산업은 발효미생물 관련 기술 방향으로 특화되고 있다. 이는 산업 전체의 융합 경향을 따라 여러 기술 분야로 확장하기 보다는 순창이 갖는 지역자산과 인력에 맞추어 지역산업을 특화시킨 결과라고 판단된다. 순창군 장류산업의 지식네트워크는 지방정부와 대학, 진흥원 등 공공부문이 주도적인 역할을 하고 있고, 최근 조합법인 형태의 출원자와 공공부문의 협력을 통해 지역 내 기술 공유와 확산을 가져오는 것으로 나타났다.