• 제목/요약/키워드: patent information

검색결과 977건 처리시간 0.02초

Analyzing Offshore Wind Power Patent Portfolios by Using Data Clustering

  • Chang, Shu-Hao;Fan, Chin-Yuan
    • Industrial Engineering and Management Systems
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    • 제13권1호
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    • pp.107-115
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    • 2014
  • Offshore wind power has been extremely popular in recent years, and in the energy technology field, relevant research has been increasingly conducted. However, research regarding patent portfolios is still insufficient. The purpose of this research is to study the status of mainstream offshore wind power technology and patent portfolios and to investigate major assignees and countries to obtain a thorough understanding of the developmental trends of offshore wind power technology. The findings may be used by the government and industry for designing additional strategic development proposals. Data mining methods, such as multiple correspondence analyses and k-means clustering, were implemented to explore the competing technological and strategic-group relationships within the offshore wind power industry. The results indicate that the technological positions and patent portfolios of the countries and manufacturers are different. Additional technological development strategy recommendations were proposed for the offshore wind power industry.

특허 인용에 영향을 미치는 요인 분석 (Analysis of Factors Influencing Patent Citations)

  • 유재복;정영미
    • 정보관리학회지
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    • 제27권1호
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    • pp.103-118
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    • 2010
  • 최근 특허기술의 가치평가가 크게 강조되고 있으며, 그 평가의 수단으로 특허의 피인용횟수가 매우 유용한 척도 중의 하나로 받아들여지고 있다. 그에 따라 이 연구에서는 특허의 피인용횟수와 이에 영향을 미칠만한 형태적 기술적 개념적 요인의 17개 변수들 간의 상관관계를 미국특허를 대상으로 5개 주제분야에 걸쳐 분석하였다. 분석결과 특허의 피인용횟수와 일정 수준 이상의 상관관계, 즉 5% 이상의 설명력을 갖는 변수는 페이지 수, 청구항 수, 참고문헌 평균 피인용횟수, 기술분야 특허증감율, 서지결합도, 동시인용도 및 문헌간유사도 등 7개로 나타났다. 또한 이들 변수에 대한 분산분석 결과 7개 변수 모두 전반적으로 대부분의 주제분야 간에 있어서 평균값의 차이가 있는 것으로 나타났다.

특허분석을 통한 한국섬유산업 기술개발 동향 (Development Trends of Korean Textile Industry by Analyzing Domestic Patent)

  • 박차철;김호정
    • 한국의류산업학회지
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    • 제11권5호
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    • pp.840-845
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    • 2009
  • The purpose of this study is to analyze the trends of technique development of domestic textile industry and to guide the directions for researches to secure competitiveness of textile industry by analyzing domestic patent applications. This research used patent literature from Korean Patent Information database provided by Korea Intellectual Property Rights Information Service(KIPRIS), and the patent search scope, based on the application year, was from 1980 to 2007. The number of patents by natives was lower than that of foreigners in 1980's, but from the mid 90's, that number grew larger than that of foreigners. Also the number of patents by natives have shown steadily increasing tendency. However, the number of foreigner's patent in D03, D04, D05 of class was higher than the number of patents by natives. The technical fields where the patent application ratio is high varied from one country to another. In Korea, D01F of subclass had the most number of patents, and D05B, D04B had the most number of patents in Japan and Germany.

공통특허분류 분석을 활용한 안전기술융합분야 탐색 : Association Rule Mining(ARM) 접근법 (Exploring Convergence Fields of Safety Technology Using ARM-Based Patent Co-Classification Analysis)

  • 서용윤
    • 한국안전학회지
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    • 제32권5호
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    • pp.88-95
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    • 2017
  • As the safety fields are expanding to a variety of industrial fields, safety technology has been developed by convergence between industrial safety fields such as mechanics, ergonomics, electronics, chemistry, construction, and information science. As the technology convergence is facilitating recently advanced safety technology, it is important to explore the trends of safety technology for understanding which industrial technologies have been integrated thus far. For studying the trends of technology, the patent is considered one of the useful sources that has provided the ample information of new technology. The patent has been also used to identify the patterns of technology convergence through various quantitative methods. In this respect, this study aims to identify the convergence patterns and fields of safety technology using association rule mining(ARM)-based patent co-classification(co-class) analysis. The patent co-class data is especially useful for constructing convergence network between technological fields. Through linkages between technological fields, the core and hub classes of convergence network are explored to provide insight into the fields of safety technology. As the representative method for analyzing patent co-class network, the ARM is used to find the likelihood of co-occurrence of patent classes and the ARM network is presented to visualize the convergence network of safety technology. As a result, we find three major convergence fields of safety technology: working safety, medical safety, and vehicle safety.

Identifying New Technologies in Product and Processes through Patent Databanks

  • Silva, Luan Carlos Santos;Caten, Carla Schwengber ten;Gaia, Silvia;Faco, Renata Tilemann;Zocche, Lidiana;Travessini, Rosana
    • 산경연구논집
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    • 제6권3호
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    • pp.27-33
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    • 2015
  • Purpose - This paper's aim is to analyze the technological information in patent databanks as a strategy in prospecting for new technologies. Research design, data, and methodology - We detail the major free electronic database sources for patent information, the patent documents, the patent document structures, INID codes (Internationally Agreed Numbers for the Identification of Data), indexation, references, and classification notions. Additionally, we review and analyze information on the activities of the Center of Dissemination Documentation and Technological Information (CEDIN) from the National Institute of Intellectual Property (INPI) of Brazil for the period 2000 to 2011. Results - The research shows that the technological information contained in the patents could provide a wide range of functionality within companies and universities. Conclusions - In recent years, (CEDIN), a specialist in intellectual property, has been serving internal and external users by providing guidance on the basis of patents and other literature, but the number of users served is still small. In order to familiarize more potential users of such technological information, task forces should be created among INPI, universities, and companies.

기업의 특허 역량이 성과에 미치는 영향에 관한 실증 분석 : 우수 벤처기업을 중심으로 (An Empirical Analysis about the Effect on Performance of Firm's Patent Competency : Focusing on the High Performance Venture Firms in Korea)

  • 안연식
    • 지식경영연구
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    • 제11권1호
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    • pp.83-96
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    • 2010
  • In this study, the effect of firm's patent competency on the their management performance was analysed. The number of patents granted to Korean firms, patent grade score as of the firm's patent competence were considered in the perspectives of patent volume and patent value respectively. Specially the analysis were implemented focusing on the high performance venture ranked 200th in Korea. The patent source data were from the Korean Intellectual Property Office, Korean Credit Evaluation Information Company, and the Patent Evaluation System of KIPO and KIPA. And the year sales and net profit volume as of the firm's management performance data from the KIS. Management performance data are consisted of the mean sales, net profit and ROI during the 4 years from FY2005 to FY2008. Major results are as follows. The regression model were proved significantly that the year sales volume and net profit are effected by the number of patents and patent grade score. But the model including the ROI were shown not significantly. So it can be concluded that patent volume and patent value are the important factors on firm's financial performance as of the year sales volume and net profit. Also the regression model including the control variables, firm's number of employee and business year, the number of patents and patent grade score are the significant factors on firms performance. And regression coefficients of patent value model were higher than these of patent volume model. So it can be recognized that patent value of firms' patent competency are more important factor than the patent volume.

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국내 특허 문헌 내 화학 용어 자동 추출을 위한 알고리즘 연구 (A study on the Algorithm for automated extraction for chemical term in Korean patents)

  • 이하영;김홍기;박진우
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2019년도 제60차 하계학술대회논문집 27권2호
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    • pp.273-276
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    • 2019
  • 본 논문에서는 열 및 전기특성 플라스틱 복합수지와 한글에 특화된 인공지능 기술을 개발하기 위한 조성/물성 정보 복합수지 지식베이스를 구축하고자 국내 특허 문헌에서 화학 용어를 추출하고자 한다. 이를 위해 전문용어가 많이 쓰인 특허 문헌의 특수성을 고려하여 UIMA(Unstructured Information Management Architecture) 규칙 기반의 라이브러리를 사용해 한국어 화학 용어 코퍼스를 구축하고 이를 기반으로 딥러닝 알고리즘 중 하나인 Bidirectional LSTM-CRF를 기반으로 특허 문헌에서 화학 용어를 자동으로 추출하는 알고리즘을 연구하고자 한다.

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Development of Angiogenesis Inhibitors: an Analysis of the Patent Literatures

  • Sohn, Eun-Soo;Sohn, Eun-Hwa
    • 대한의생명과학회지
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    • 제17권2호
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    • pp.95-104
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    • 2011
  • The development of a general appreciation for the central role of angiogenesis in cancer growth and metastasis and other disease status has led to a wide range of new therapeutic strategies. This paper reviews the domestic and international trends through technology, marketing and patent information analysis dealing with anti-angiogenic agents. This analytical research has led to the identification of new targets associated with angiogenesis, leading to the development of an extensive number of preclinical screening of antiangiogenetic agents.