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      An Extraction Method of Bibliographic Information from the US Patents: Using an HTML Parsing Technique

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      https://www.riss.kr/link?id=A103973184

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      다국어 초록 (Multilingual Abstract)

      This study aims to provide a method of extracting the most recent information on US patent documents. An HTML paring technique that can directly connect to the US Patent and Trademark Office (USPTO) Web page is adopted. After obtaining a list of 50 documents through a keyword searching method, this study suggested an algorithm, using HTML parsing techniques, which can extract a patent number, an applicant, and the US patent class information. The study also revealed an algorithm by which we can extract both patents and subsequent patents using their closely connected relationship, that is a very distinctive characteristic of US patent documents. Although the proposed method has several limitations, it can supplement existing databases effectively in terms of timeliness and comprehensiveness.
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      This study aims to provide a method of extracting the most recent information on US patent documents. An HTML paring technique that can directly connect to the US Patent and Trademark Office (USPTO) Web page is adopted. After obtaining a list of 50 do...

      This study aims to provide a method of extracting the most recent information on US patent documents. An HTML paring technique that can directly connect to the US Patent and Trademark Office (USPTO) Web page is adopted. After obtaining a list of 50 documents through a keyword searching method, this study suggested an algorithm, using HTML parsing techniques, which can extract a patent number, an applicant, and the US patent class information. The study also revealed an algorithm by which we can extract both patents and subsequent patents using their closely connected relationship, that is a very distinctive characteristic of US patent documents. Although the proposed method has several limitations, it can supplement existing databases effectively in terms of timeliness and comprehensiveness.

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      참고문헌 (Reference)

      1 유재복, "특허 인용에 영향을 미치는 요인 분석" 한국정보관리학회 27 (27): 103-118, 2010

      2 "World Intellectual Property Organization (WIPO, 2010) IP Statistics"

      3 No, H. J., "Trajectory patterns of technology fusion: Trend analysis and taxonomical grouping in nanobiotechnology" 77 (77): 63-75, 2010

      4 Lichtenthaler, U., "The role of corporate technology strategy and patent portfolios in low-, medium- and high-technology firms" 38 (38): 559-569, 2009

      5 Simmons, E. S., "The online divide: a professional user’s perspective on Derwent database development in the online era" 26 (26): 45-47, 2004

      6 Hall, B., "The NBER Patent Citations Data File: Lessons, Insights and Methodological Tools" 2001

      7 Lerdorf, R., "Programming PHP (2nd ed.)" O'Reilly Media 2006

      8 Ernst, H., "Patent Information for Strategic Technology Management" 25 (25): 233-242, 2003

      9 Gupta, S., "Automating Content Extraction of HTML Documents" 8 (8): 179-224, 2005

      10 Calcagno, M., "An investigation into analyzing patents by chemical structure using Thomson’s Derwent World Patent Index codes" 30 (30): 188-198, 2008

      1 유재복, "특허 인용에 영향을 미치는 요인 분석" 한국정보관리학회 27 (27): 103-118, 2010

      2 "World Intellectual Property Organization (WIPO, 2010) IP Statistics"

      3 No, H. J., "Trajectory patterns of technology fusion: Trend analysis and taxonomical grouping in nanobiotechnology" 77 (77): 63-75, 2010

      4 Lichtenthaler, U., "The role of corporate technology strategy and patent portfolios in low-, medium- and high-technology firms" 38 (38): 559-569, 2009

      5 Simmons, E. S., "The online divide: a professional user’s perspective on Derwent database development in the online era" 26 (26): 45-47, 2004

      6 Hall, B., "The NBER Patent Citations Data File: Lessons, Insights and Methodological Tools" 2001

      7 Lerdorf, R., "Programming PHP (2nd ed.)" O'Reilly Media 2006

      8 Ernst, H., "Patent Information for Strategic Technology Management" 25 (25): 233-242, 2003

      9 Gupta, S., "Automating Content Extraction of HTML Documents" 8 (8): 179-224, 2005

      10 Calcagno, M., "An investigation into analyzing patents by chemical structure using Thomson’s Derwent World Patent Index codes" 30 (30): 188-198, 2008

      11 Yoon, B. U., "A text-mining-based patent network: Analytical tool for high-technology trend" 15 (15): 37-50, 2004

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      연월일 이력구분 이력상세 등재구분
      2026 평가예정 재인증평가 신청대상 (재인증)
      2020-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2017-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2013-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2006-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2004-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2001-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      1998-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 1.21 1.21 1.48
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      1.29 1.2 2.027 0.28
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