• Journal of Korea Technology Innovation Society
• /
• v.14 no.spc
• /
• pp.1152-1170
• /
• 2011

We selected core documents from enormous number of documents by analyzing citation relation of papers or patents including direct citation and indirect citation. Then we tried to creat the technology evolution path from citation network tree. By applying the method to the patent DB of OLED (Organic Light Emitting Diode), we obtained genealogical citation network of core patents of OLED. We analyzed how the one of OLED technology was transferred to the semiconductor related technology and we named the process of transition as 'technology evolution path' of OLED technology. And we also analyzed the genealogical citation network of papers on graphene. From the analysis, we found that the weight count method including indirect citation was better in evaluating the value of technology of a paper than the times cited method.

• Proceedings of the Korea Technology Innovation Society Conference
• /
• 2004.11a
• /
• pp.273-285
• /
• 2004

• Journal of the Korean Institute of Intelligent Systems
• /
• v.25 no.4
• /
• pp.392-397
• /
• 2015

Society has been developed through analogue, digital, and smart era. Every technology is going through consistent changes and rapid developments. In this competitive society, R&D strategy establishment is significantly useful and helpful for improving technology competitiveness. A patent document includes technical and legal rights information such as title, abstract, description, claim, and patent classification code. From the patent document, a lot of people can understand and collect legal and technical information. This unique feature of patent can be quantitatively applied for technology analysis. This research paper proposes a methodology for extracting core technology and patents based on quantitative methods. Statistical analysis and social network analysis are applied to IPC codes in order to extract core technologies with active R&D and high centralities. Then, core patents are also extracted by analyzing citation and family information.

• Economic Analysis
• /
• v.25 no.4
• /
• pp.25-57
• /
• 2019

This paper studies localization effects of knowledge spillovers in Korea using U.S. patents granted over the period 1996-2015. The "sample-matching" analysis initiated by Jaffe, Trajtenberg, and Henderson (1993) is adopted. We do not find evidence of positive localization effects in Korea. In particular, controlling for the existing geographic distribution of knowledge production, the frequency of domestic citations of Korean patents is no more than the citation frequency from overseas, and the difference is decreasing within the sample period. We also examine localization effects across regions and industries, and compare Korea with Taiwan and Japan.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2003.05a
• /
• pp.1007-1013
• /
• 2003

It is becoming increasingly clear that participation in the 'new economy' driven by scientific and technological advances will be the way to achieve global prosperity in the 21st century. An analysis of the patents assigned to a particular country, using the techniques in this study, provides a means to objectively assess the potential for participating in that prosperity, and to identify strong and weak area in technological potential. The analyses are based on Korean-invented patents issued in the United States, and on the citation analysis techniques that link these patents with other patents.

• Journal of the Korea Convergence Society
• /
• v.12 no.7
• /
• pp.207-220
• /
• 2021

Industrial convergence is manifested in various forms by various drivers, and understanding and categorizing the direction of convergence according to the factors in which the convergence occurs is an essential requirement for the establishment of a company's customized convergence strategy and the government's corporate support policy. In this study, the type of convergence is analyzed from the perspective of knowledge flow between heterogeneous technologies, and for this purpose, the result of topic modeling of the text information of the patent and the citation information of the corresponding patent allocated for each topic are used. The methodology presented through case studies in the medical device field is verified. Through the proposed methodology, companies can predict the flow of convergence and use it as decision-making data to create new business opportunities. It is expected that the government and research institutions will be usefully used as basic data for policy preparation.

• Proceedings of the Korea Contents Association Conference
• /
• 2018.05a
• /
• pp.427-428
• /
• 2018

특허 등록 후 지재권에 대한 시장 가치를 알 수 있는 대리지표로 인용수와 패밀리수가 널리 활용되고 있다. 최근 특허 유지료와 소유권 정보를 이용한 연구가 일부 진행되고 있으나, 아직 초기 단계의 연구에 머물러 있다. 본 연구는 중소기업과 대기업의 특허 유지료와 인용과의 관계를 분석하고 의사결정 나무를 이용하여 특허유지료에 영향을 미치는 주요 변수를 탐색하였다.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.19 no.1
• /
• pp.34-47
• /
• 2018

As interest in advanced countries regarding the convergence technology development increases, a methodology for identifying the core convergence technology that has a large spill-over effect on the technology and industry is required for the nation's competitiveness enhancement in the convergence technology field. Based on patent citation network analysis using 1,124 USPTO patents in the ICT convergence technology field of the smart factory, this study examined the proposed heterogeneous technology convergence index as a tool for measuring the convergence characteristics of the spillovers compared to other indexes (i.e. other sector ratio index and homogeneous technology convergence index). The proposed heterogeneous technology convergence index was used to investigate core technology sectors among ICT technology sectors of smart factory identified by government ministries. Results found 6 core ICT convergence technology sectors including the manufacturing execution analysis application sector. Also, this study conducted blockmodeling analysis using the IPC codes of patents in the manufacturing execution analysis application sector, and identified that the blocks representing the electronic communication and electric digital data processing technology sectors (Block 3 & 4) are related technology sectors which can be converged with core technology. Based on the findings, the implications for the convergence technology development planning of the smart factory field are discussed.

• Journal of Korea Technology Innovation Society
• /
• v.14 no.spc
• /
• pp.1187-1208
• /
• 2011

This research aims to propose a systematic approach to identify emerging technology-product portfolio for small and medium enterprises (SMEs). Firstly, operational definition of emerging technology for SMEs is presented. Secondly, research framework is suggested and case study to show usefulness of the newly proposed framwork is analyzed. In detail, reference patent set which represent company's capabilities and business area are constructed. The research constructs patent data set for bibliometric analysis using reference patent set and citing patents to 2nd level. Clustering (expert judgement) and keyword based bibliometric approach are used. Then, cluster activity index (AI) and relevance index (RI) comparing with reference patent set are estimated. With emerging technology-product portfolio using AI and RI, a firm can identify emerging technology-product area and monitoring area.

• Journal of the Korean Society for Library and Information Science
• /
• v.51 no.4
• /
• pp.35-52
• /
• 2017

This paper aims to explore the citation patterns of conference papers in 'Information Science' discipline and to analze impacts of various cited works-related factors on future citations of conference papers. Existing bibliometric studies has investigated citation patterns and the statistical relations between a variety of bibliographic factors and the future citations of literature. However, the attentions have been focused largely on journal articles, and the bibliometric studies targeting conference papers are still in an infant stage. Therefore, this study, which is based on 1,904 conference papers in 'Information Science' field, examined several citation patterns and the contributions of the factors about cited works - the number of cited works, type of cited works, citation rates and ages of cited works at the time of being cited and the rate of self-citedness - to the future citation of the citing target articles. The data source of this study including the properties of target articles and cited works and citation rates of target articles was Scopus. As the results, 53% and 29% of the cited works were conference papers and journal articles, respectively. 14% of them are non-traditional types such as web pages, technical reports, patent, etc. More than 60% of the cited works were 5 years old or less. Among several factors considered in this paper, the number of conference papers and the number of non-traditional types of works are the most contributing factors on the citation rates of target articles. The recency of the cited works is also significant contributor on the citation rates of target articles. That is, the target articles citing more conference papers and non-traditonal types of works earned more citations. The target articles citing recent works also earned more citations.