• Title/Summary/Keyword: Patent classification

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Analysis of the Structural Characteristics of Technology Fusion Networks Using the International Patent Classification: Focusing on Patents in the Pet Food Industry

  • Yun-Ju Lee;Joon-Seok Song
    • International Journal of Advanced Culture Technology
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    • v.12 no.1
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    • pp.134-143
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    • 2024
  • We investigated and analyzed the technological landscape of the global pet food industry, focusing on related industries in Korea and abroad. This industry accounts for the largest share of the rapidly growing global pet market. We aimed to identify and develop technologies that can strengthen Korea's position in this market. Our study employed various quantitative methods, including time series analysis, country and applicant analysis, and International Patent Classification (IPC) technology analysis. These analyses allowed us to objectively assess the current technological status, patent application distribution, and technological trends in the pet food industry. Our findings revealed that the United States currently holds the leading position in terms of patent applications within the pet food industry. This suggests that to establish a differentiated competitive edge in this field, it's crucial to develop technologies with high usability and target specific segments within related industries. Additionally, focusing on interdisciplinary research that combines Korea's existing advanced technologies with other relevant fields is essential.

A patent analysis method for identifying core technologies: Data mining and multi-criteria decision making approach (핵심 기술 파악을 위한 특허 분석 방법: 데이터 마이닝 및 다기준 의사결정 접근법)

  • Kim, Chul-Hyun
    • Journal of the Korea Safety Management & Science
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    • v.16 no.1
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    • pp.213-220
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    • 2014
  • This study suggests new approach to identify core technologies through patent analysis. Specially, the approach applied data mining technique and multi-criteria decision making method to the co-classification information of registered patents. First, technological interrelationship matrices of intensity, relatedness, and cross-impact perspectives are constructed with support, lift and confidence values calculated by conducting an association rule mining on the co-classification information of patent data. Second, the analytic network process is applied to the constructed technological interrelationship matrices in order to produce the importance values of technologies from each perspective. Finally, data envelopment analysis is employed to the derived importance values in order to identify priorities of technologies, putting three perspectives together. It is expected that suggested approach could help technology planners to formulate strategy and policy for technological innovation.

A Study on the Extracting ICT Development Trend and Promising Technologies by Utilizing Patent Information in Gyeongbuk Province (특허정보를 활용한 경북지역 ICT 개발동향 분석 및 유망기술 도출에 관한 연구)

  • Han, Jang-Hyup;Kim, Chae-Bogk
    • Journal of Korea Technology Innovation Society
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    • v.21 no.1
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    • pp.236-264
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    • 2018
  • This study investigates the trend of the patent applications and the future direction of ICT in Gyeongbuk Province by employing patent portfolio analysis, one of the methodology of map analyses for industry-related ICT issues. Thus, this study aims to investigate the ICT development trend based on ICT patent information in Gyeongbuk Province. The promising technologies in ICT industry are extracted by applying patent portfolio analysis, one of the patent map analyses. The analysis results can be applied to the establishment of research and development strategies. This study extracts ICT trend by applying International Patent Classification to the patents registered in Gyeongbuk. For promising technologies, this study analyzed the patents based on the ICT Classification Code. Based on the analysis results, this study presents the trend of patent application, technology share, patent activity status, the trend of patent application by each technology according to ICT classification, the growth stages of ICT market, registration parties for patents, joint researches of research parties, and primary parties of patent applications. After drawing promising technologies, this study provides the future progress direction of ICT industry in Gyeongbuk Province. The research results also can be applied to securing technology competence and developing strategy of technology policy.

An Analysis of the Patent for Highly Efficient Absorption Refrigeration System (고효율 흡수식 냉동기의 특허기술 분석연구)

  • 심윤희;박윤철;배영문
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.16 no.4
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    • pp.332-339
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    • 2004
  • A technical analysis was conducted to predict the development trend for the highly efficient absorption type refrigeration system. The study was based on a submitted patent during January 1981 and December 2000 in Korea, Japan and America. The total number of extruded patents from the registered database was 24,822 and the filtering process makes the reduction of the data number to 3,510. Technical development of Japan for the absorption type refrigeration system is prominent compared to the other country due to approximately 75% of the patents coming from Japan. When the patent is divided into two categories, the patent for component technology for the refrigeration system makes up 75% and the refrigerating type technology 25% of the patents. This shows technical development for the system component is advanced compared to the technology development for the system type. When the patents are classified by nationality of patent applicants, foreigners contribute up to 33% of the patents in Korea. However, Japan's case shows the 99% of the patents are invented by the Japanese. If the patents are classified to the International Patent Classification, most of the data for the absorption type refrigeration system belongs to IPC F25B.

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

  • Suh, Yongyoon
    • Journal of the Korean Society of Safety
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    • v.32 no.5
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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.

Analysis of Core Patent and Technology of Unmanned Ground Technology Using an Analytical Method of the Patent Information (특허정보 분석 방법을 이용한 지상무인화 기술 분야 핵심 특허 및 기술 분석)

  • Park, Jae Yong
    • KIPS Transactions on Software and Data Engineering
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    • v.7 no.5
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    • pp.189-194
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    • 2018
  • Unmanned technology is a representative technology that integrates various technologies like electric, electronic, mechanical, artificial intelligence, ICT technology, ect. In special emphasize, ground technology has been developing exponentially in the military field and expanding its utilization area. The patent information analysis method presented in this study, proposes a new patent analysis methodology for patent information analysis and patent information on unmanned ground technology. The patent information analysis processor has 6 levels to extract core patents and technologies. The process consists of: selection of technology to be analyzed, classification of detailed technology / key keyword selection, patent information collection / noise reduction, selection of patent information analysis method, patent information analysis, finally, core patents and key technologies that are extracted. Patent information on unmanned ground technology is also analyzed in this study. First, the technical classification of ground unmanned technology is carried out in detail. The core technology and core patents of ground unmanned technology were extracted through CPP and IPC code connectivity analysis. The results of patent information analysis using proposed patent information analysis method that can be applied to various fields of technology and analysis. These can be used as a material to forecast the direction of future research and development on the technology to be analyzed.

Identifying Promising Service Areas for Technology-based Firms (기술기반 기업의 유망 서비스 영역 탐색)

  • Kim, Chulhyun
    • Journal of the Korea Safety Management & Science
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    • v.15 no.4
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    • pp.407-416
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    • 2013
  • This paper proposes an approach to analyzing the relationship between technology and services, and to identifying promising service areas for technology-based firms with the analysis of business model (BM) patents. First, BM patents and technology patents are collected and classified into their relevant categories, respectively. Second, patent citation analysis is conducted to analyze the linkage and impacts between each technology and service field at macro level. Third, as a micro level analysis, patent co-classification analysis is employed to identify the interrelationships among specific technology and service areas. Finally, the promising service areas for technology-based firms seeking service areas for diversification is investigated with portfolio analysis. The working of the proposed approach is provided with the help of a case study of IT and mobile services. The proposed approach could guide and help managers of technology-based firms to discover the opportunity of the diversification to new areas in emerging service fields.

Analysis of BIM Technology Structure and Core Technology Using Patent Co-classification Network Analysis (특허 동시분류 네트워크 분석을 활용한 BIM 기술구조와 핵심기술 분석)

  • Park, Yoo-Na;Lee, Hye-Jin;Lee, Seok-Hyoung;Choi, Hee-Seok
    • Journal of KIBIM
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    • v.10 no.2
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    • pp.1-11
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    • 2020
  • BIM(Building Information Modeling) is a salient technology for influential innovation in the construction industry. The patent network analysis is useful for suggesting the direction of technology development and exploring the research and development field. Therefore, the purpose of this study is to analyze the BIM technology structure and core technologies according to the convergence of BIM technology and market expansion. In this study, social network analysis was conducted by establishing a co-classification IPC network for the United States BIM patent. In particular, the characteristics of the major technical areas in the BIM technology network were identified through centrality analysis. G06F017/00, digital computing or data processing method, is a core technology field in the BIM network. Arrangements, apparatus or systems for transmission of digital information, H04L029/00 is an influential technology across the network. B25J009/00 for program controlled manipulators is an intermediary technology field and G06T019/00, manipulating 3D models or images for computer graphics, is an important field for technological development competitiveness.

A Study on the Improvement of the Defense-related International Patent Classification using Patent Mining (특허 마이닝을 이용한 국방관련 국제특허분류 개선 방안 연구)

  • Kim, Kyung-Soo;Cho, Nam-Wook
    • Journal of Korean Society for Quality Management
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    • v.50 no.1
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    • pp.21-33
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    • 2022
  • Purpose: As most defense technologies are classified as confidential, the corresponding International Patent Classifications (IPCs) require special attention. Consequently, the list of defense-related IPCs has been managed by the government. This paper aims to evaluate the defense-related IPCs and propose a methodology to revalidate and improve the IPC classification scheme. Methods: The patents in military technology and their corresponding IPCs during 2009~2020 were utilized in this paper. Prior to the analysis, patents are divided into private and public sectors. Social network analysis was used to analyze the convergence structure and central defense technology, and association rule mining analysis was used to analyze the convergence pattern. Results: While the public sector was highly cohesive, the private sector was characterized by easy convergence between technologies. In addition, narrow convergence was observed in the public sector, and wide convergence was observed in the private sector. As a result of analyzing the core technologies of defense technology, defense-related IPC candidates were identified. Conclusion: This paper presents a comprehensive perspective on the structure of convergence of defense technology and the pattern of convergence. It is also significant because it proposed a method for revising defense-related IPCs. The results of this study are expected to be used as guidelines for preparing amendments to the government's defense-related IPC.

An Analysis of Patent Co-Classification Network for Exploring Core Technologies of Firms: An Application to the Foldable Display Sector (기업별 핵심기술 탐색을 위한 특허의 동시분류 네트워크 분석: 폴더블 디스플레이 분야에 대한 적용)

  • Yun, Namshik;Ji, Ilyong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.4
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    • pp.382-390
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    • 2019
  • As there is severe competition in the global foldable display market, strategic technology planning is required. Patent analysis as a tool for technology planning has frequently been used due to data characteristics such as openness, formality, and detailed information. However, traditional patent analysis has various limitations such as quantitative approaches are limited in evaluating contents of patents and identifying core technologies of firms as they rely on number of patents, and qualitative approaches have time and cost problems as researchers have to investigate each patent on a case-by-case basis. In this research, we analyze core technologies of firms in the foldable display sector analyzing patent co-classification Network. Results show that the number of patent applications has rapidly increased since 2014, and 92% of these patents are held by two panel manufacturers, SDC and LGD, and two device manufacturers, SEC and LGE. Network analysis shows that the two panel manufacturers' core technologies are similar and two device manufacturers are notably different. This research provides implications to the sector. Moreover, this study provides unique results drawn from co-classification network analysis, and therefore, our research suggests patent co-classification analysis as an effective tool for technology planning.