• Title/Summary/Keyword: 해외특허문서

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KEA 브리핑

  • Korea Electronics Association
    • Journal of Korean Electronics
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    • v.26 no.3
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    • pp.42-43
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    • 2006
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LDA Topic Modeling and Recommendation of Similar Patent Document Using Word2vec (LDA 토픽 모델링과 Word2vec을 활용한 유사 특허문서 추천연구)

  • Apgil Lee;Keunho Choi;Gunwoo Kim
    • Information Systems Review
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    • v.22 no.1
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    • pp.17-31
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    • 2020
  • With the start of the fourth industrial revolution era, technologies of various fields are merged and new types of technologies and products are being developed. In addition, the importance of the registration of intellectual property rights and patent registration to gain market dominance of them is increasing in oversea as well as in domestic. Accordingly, the number of patents to be processed per examiner is increasing every year, so time and cost for prior art research are increasing. Therefore, a number of researches have been carried out to reduce examination time and cost for patent-pending technology. This paper proposes a method to calculate the degree of similarity among patent documents of the same priority claim when a plurality of patent rights priority claims are filed and to provide them to the examiner and the patent applicant. To this end, we preprocessed the data of the existing irregular patent documents, used Word2vec to obtain similarity between patent documents, and then proposed recommendation model that recommends a similar patent document in descending order of score. This makes it possible to promptly refer to the examination history of patent documents judged to be similar at the time of examination by the examiner, thereby reducing the burden of work and enabling efficient search in the applicant's prior art research. We expect it will contribute greatly.

Productivity Profiles of Korean Inventors: A First Look at the Korean Inventor Panel Data (한국 개발자 패널데이터를 이용한 기술개발자의 생애주기 생산성 분석)

  • Kim, Jinyoung
    • Journal of Labour Economics
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    • v.41 no.3
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    • pp.161-186
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    • 2018
  • Albeit numerous endeavors in matching names and surveying inventors, inventor-level studies of patent data have been scarce because unique inventors can not be identified across patents. Using the Korean patent data with inventor IDs, birth year, and gender available, we construct unique inventor-level panel data. As the first undertaking with our data, we investigate the age profile of patent productivity among inventors. We find an inverted U-shaped profile with the peak at age 31. We also find an increasing productivity for younger cohorts of inventors. These findings are robust after we control for the calendar year effects and the quality of patents.

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