• Title/Summary/Keyword: Patent classification

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Unsupervised learning-based automated patent document classification system (비지도학습 기반 자동 특허문서 분류 시스템)

  • Kim, Sang-Baek;Kim, Ji-Ho;Lee, Hong-Chul
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.07a
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    • pp.421-422
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    • 2021
  • 국내·외 기업들의 기술을 보호하고자 매년 100만개의 특허가 출원되고 있다. 등록된 특허 수가 증가될수록 전문가의 판단만으로 원하는 기술 분야의 유효한 특허문서를 선별하는 것은 효율적이지 않으며 객관적인 결과를 기대하기 어려워진다. 본 연구에서는 유효 특허문서 분류 정확성과 전문가의 업무 효율성을 제고하고자 비지도학습 모델인 잠재 디리클레 할당 알고리즘(Latent Dirichlet Allocation, LDA)과 딥러닝을 활용하여 자동 특허문서 분류 시스템을 제안하고자 한다.

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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
    • The Journal of Industrial Distribution & Business
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    • v.6 no.3
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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.

Exports and Firm Innovation (수출이 기업혁신에 미치는 영향)

  • Yim, Jeong-Dae
    • Korea Trade Review
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    • v.44 no.3
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    • pp.227-252
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    • 2019
  • This study explores the effects of exports on the innovation of Korean firms listed on two Korean stock markets, the Korean Stock Exchange and the Korean Securities Dealers Quotations, between 1999 and 2016. By matching exporting firms to non-exporting ones with propensity score matching, this study accounts for a problem from sample selection bias that may arise from differences in firm-characteristics between the two groups. From the study results, first, both export participation and export volume significantly increase subsequent innovation performance, as measured by the number of patent applications. This result seems to support the "learning by exporting" hypothesis for Korean listed firms. Second, both export participation and export volume narrow innovation scope, proxied as the number of unique International Patent Classification (IPC) codes of the patent applied, the degree to which patents are concentrated in a particular class, and the degree of proximity in the patents. The findings of innovation scope suggest a possible explanation that the learning effect appears in familiar technology fields that firms have previously held, rather than in unfamiliar ones. Third, these results are robust using alternative proxies in the innovation scope, Tobit regressions to consider the non-trivial portion of sample firms with patent applications equal to zeros, and generalized method of moments (GMM) to control for the persistence of innovation measures hearing over years. Finally, the two main results are more pronounced in large firms than in small and medium-sized ones. As for Chaebol firms, however, these results do not appear.

Analysis of Korean Patent Current Status Related to Food using Edible Insects (식용곤충을 이용한 식품 관련 국내 특허 현황 분석)

  • Park, Chanjeong
    • The Korean Journal of Food And Nutrition
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    • v.35 no.2
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    • pp.137-149
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    • 2022
  • The purpose of this paper was to analyze domestic patents for food using edible insects. From January 1, 1980 to December 31, 2021, patents filed with the Korean Intellectual Property Office were searched, and a total of 242 valid patents were selected. The trend of Korean patent applications for edible insect food has increased since 2015, with 57 cases (the highest number) in 2017. As for the edible insects used in food, Bombyx mori L. were the most common with 127 cases, followed by Tenebrio molitor L. with 118 cases. By type of applicant, individuals accounted for the most, with 132 cases. As a result of grouping patents by food classification, 67 cases of edible insects were used in snacks, breads, and rice cakes. As a result of patent analysis, an effort was made to supplement insufficient nutrients by adding nutritionally excellent edible insects to existing foods, and efforts were made to improve the sensory properties of insect foods. It is expected that this study will contribute to establishing future R&D directions and patent application strategies related to edible insect food.

A R&D strategies for development using structured association map (구조화된 연관맵을 이용한 연구개발 전략 수립)

  • Song, Wonho;Lee, Junseok;Park, Sangsung
    • Journal of the Korean Institute of Intelligent Systems
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    • v.26 no.3
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    • pp.190-195
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    • 2016
  • A technology is continuously developed in a rapidly changing global market. A company requires an appropriate R&D strategy for adapting to this environment. That is, the technologies owned by the company needs to be thoroughly analyzed to improve its competitiveness. Alternatively, technology classification using IPC codes is carried out recently in an objective and quantitative way. International Patent Classification, IPC is an internationally specified classification system, so it is helpful to conduct an objective and quantitative patent analysis of technology. In this study, all of the patents owned by company C are investigated and a matrix representing IPC codes of each patent is created. Then, a structured association map of the patents is made through association rules mining based on Confidence. The association map can be used to inspect the current situation of a company about patents. It also allows highly associated technologies to be clustered. Using the association map, this study analyzes the technologies of company C and how it changes with time. The strategy for future technologies is established based on the result.

Technical Trends and Patent Analysis for Reaming Bits (확공비트의 기술동향 및 특허분석)

  • Min, Kyung-Nam;Jung, Chan-Muk;Kim, Gyui-Woong
    • The Journal of Engineering Geology
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    • v.23 no.2
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    • pp.127-136
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    • 2013
  • We analyzed the patent trends for whole drilling bits to reveal the main R&D directions, focusing on patents applied for and registered in Korea, the USA, Japan, and Europe. The technology was classified into two groups as a primary classification step (reaming systems and fixed systems), and into seven groups as a secondary classification step (sliding, odex, horizontal pivot, vertical pivot, concentric, eccentric, and etc.). A total of 33,614 patents were retrieved and 870 patents were selected for final effective analysis by data deduplication and filtering. A portfolio analysis using the correlation between the number of patents and the applicants for each patents revealed a sliding system as the key technology with greatest growth potential. From an analysis of the barriers to patents being granted, we emphasize the need to avoid similar topics existing patents or patent applications and to develop differential technology.

Analysis of Performance of Patent for National R&D Project of ICT (ICT 분야 국가 R&D 과제의 특허 성과 분석)

  • Kim, Byeong-Jeong;Shon, Young-Woo;Bae, Young-Chul
    • The Journal of the Korea institute of electronic communication sciences
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    • v.9 no.10
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    • pp.1161-1168
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    • 2014
  • As rapidly growing industry, ICT industry is emphasized for its importance and the demand to figure out for the performances of investment of R&D for ICT have been increasing. The performance for investment of R&D analyze mainly as commercialization, sales, hiring employee and intellectual property and so on. In this paper, we propose an analytical method for performance as focusing an application time of patent that are acquired as a result after perform the national project of ICT. We classify 4 subdivision technologies and 17 detailed classification of Korean industrial standard for 35,551 item of ICT area among national R&D project. This paper proposes computational method for required time about patent's performance. As a analyzed result we verify that the activity of technology's commercialization is most active in communication as 1.2 year of ICT among national project.

Discovering locally customized and future promising industries using patent analysis : Centered on the Case of Busan city (특허 분석을 통한 지역맞춤형 미래유망산업 발굴 및 도출에 관한 연구 : 부산 지역 사례를 중심으로)

  • Kim, Hyun-Woo;Shim, We;Kwon, Oh-Jin;Noh, Kyung-Ran
    • The Journal of the Korea institute of electronic communication sciences
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    • v.12 no.1
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    • pp.129-138
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    • 2017
  • The aim of this paper is to suggest methodology for local governments when discovering locally customized future promising industries with regard to policies of central government, regional competencies, and industrial promising. Firstly, key industries by region specified in '5-years regional industrial development master plan(2014)' were utilized. Secondly, science and technology competency by region was calculated with analyzing patent data in each key industries. Thirdly, industrial promising was verified by calculating Knowledge Stock and Activity Index based on measuring industry-IPC linkage. Based on the methodology proposed above, case study(case of Busan city) was done. Finally, 7 core industries and 94 candidates of future promising industries were extracted on the basis of 5 digit of KSIC subdivision. The methodology is expected to contribute local governments to establish evidence-based, efficient, and future-oriented local R&D roadmapping.

The Representative Technology Field Analysis of Domestic Defense Companies in Communication-electronics based on Patent Information Data (특허 자료 정보 기반 국내 통신전자 방산업체 대표 기술 분야 분석)

  • Kim, Jang-Eun;Cho, Yu-Seup
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.4
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    • pp.446-458
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    • 2017
  • In order to make a decision about the acquisition of command control communication weapon systems considering the client's technology level requirements, the improvement of the domestic technology level and security of core technology, the person in charge can perform technology evaluation/analysis based on command control communication weapon system patent data. As a method of collecting such patent data, we can collect the patent data of government-designated (Defense Acquisition Program Act Article 35) companies (11 Major defense companies/9 General defense companies) through the Korea Intellectual Property Rights Information System (KIPRIS) of the Korean Intellectual Property Office (KIPO) In this way, we collected 1,526 patents and 134 International Patent Classification (IPC) types through the KIPRIS of the KIPO. Based on these data, we performed three types of analysis, General information analysis, Principal Components Analysis (PCA) and Network analysis, and extracted 27, 19 and 13 IPC types from them, respectively. Based on the above three analysis results, we confirmed 8 IPC types (F41A, F41G, G06F, G01S, H04B, H04L, H04M and H04W) as the key technologies and representative technology fields of domestic communication-electronics defense companies.

An Exploratory research on patent trends and technological value of Organic Light-Emitting Diodes display technology (Organic Light-Emitting Diodes 디스플레이 기술의 특허 동향과 기술적 가치에 관한 탐색적 연구)

  • Kim, Mingu;Kim, Yongwoo;Jung, Taehyun;Kim, Youngmin
    • Journal of Intelligence and Information Systems
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    • v.28 no.4
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    • pp.135-155
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    • 2022
  • This study analyzes patent trends by deriving sub-technical fields of Organic Light-Emitting Diodes (OLEDs) industry, and analyzing technology value, originality, and diversity for each sub-technical field. To collect patent data, a set of international patent classification(IPC) codes related to OLED technology was defined, and OLED-related patents applied from 2005 to 2017 were collected using a set of IPC codes. Then, a large number of collected patent documents were classified into 12 major technologies using the Latent Dirichlet Allocation(LDA) topic model and trends for each technology were investigated. Patents related to touch sensor, module, image processing, and circuit driving showed an increasing trend, but virtual reality and user interface recently decreased, and thin film transistor, fingerprint recognition, and optical film showed a continuous trend. To compare the technological value, the number of forward citations, originality, and diversity of patents included in each technology group were investigated. From the results, image processing, user interface(UI) and user experience(UX), module, and adhesive technology with high number of forward citations, originality and diversity showed relatively high technological value. The results provide useful information in the process of establishing a company's technology strategy.