• Title/Summary/Keyword: Patent Database

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Patome: Database of Patented Bio-sequences

  • Kim, SeonKyu;Lee, ByungWook
    • Genomics & Informatics
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    • v.3 no.3
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    • pp.94-97
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    • 2005
  • We have built a database server called Patome which contains the annotation information for patented bio-sequences from the Korean Intellectual Property Office (KIPO). The aims of the Patome are to annotate Korean patent bio-sequences and to provide information on patent relationship of public database entries. The patent sequences were annotated with Reference Sequence (RefSeq) or NCBI's nr database. The raw patent data and the annotated data were stored in the database. Annotation information can be used to determine whether a particular RefSeq ID or NCBI's nr ID is related to Korean patent. Patome infrastructure consists of three components­the database itself, a sequence data loader, and an online database query interface. The database can be queried using submission number, organism, title, applicant name, or accession number. Patome can be accessed at http://www.patome.net. The information will be updated every two months.

Analysis on the Patent Database of ITU-T and IEEE (ITU-T와 IEEE의 특허 데이터베이스 분석)

  • Kim, Soo-Hyun
    • The Journal of the Korea Contents Association
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    • v.10 no.2
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    • pp.394-401
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    • 2010
  • As market becomes global, international standardization is more critical for the success of businesses and countries. Especially in the field of ICT(Information and Communication Technology), standardization is more important. Businesses not only try to expand the standard favoring them, but also they try to include their IPR(Intellectual Property Rights) such as patents into the standard. By doing these, businesses can increase their share in the market. In this paper we consider the patents included into the standards of ITU-T and IEEE which are major international standards development organizations(SDO) in the field of ICT. The patent analysis is a meaningful research topic because it helps us to understand the current status and future directions of patent activities. We investigate the patent database with respect to the nationality and institution of patent owners. The results of patent database analysis are included and some comments are presented.

Preliminary Study of Bioinformatics Patents and Their Classifications Registered in the KIPRIS Database

  • Park, Hyun-Seok
    • Genomics & Informatics
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    • v.10 no.4
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    • pp.271-274
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    • 2012
  • Whereas a vast amount of new information on bioinformatics is made available to the public through patents, only a small set of patents are cited in academic papers. A detailed analysis of registered bioinformatics patents, using the existing patent search system, can provide valuable information links between science and technology. However, it is extremely difficult to select keywords to capture bioinformatics patents, reflecting the convergence of several underlying technologies. No single word or even several words are sufficient to identify such patents. The analysis of patent subclasses can provide valuable information. In this paper, I did a preliminary study of the current status of bioinformatics patents and their International Patent Classification (IPC) groups registered in the Korea Intellectual Property Rights Information Service (KIPRIS) database.

Dicon Patent

  • Korea Database Promotion Center
    • Digital Contents
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    • no.9 s.160
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    • pp.124-126
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    • 2006
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Dicon Patent

  • Korea Database Promotion Center
    • Digital Contents
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    • no.10 s.161
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    • pp.127-129
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    • 2006
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Dicon Patent

  • Korea Database Promotion Center
    • Digital Contents
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    • no.6 s.157
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    • pp.125-127
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    • 2006
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Dicon Patent

  • Korea Database Promotion Center
    • Digital Contents
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    • no.8 s.159
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    • pp.121-125
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    • 2006
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Dicon Patent

  • Korea Database Promotion Center
    • Digital Contents
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    • no.5 s.156
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    • pp.134-135
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    • 2006
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Dicon Patent

  • Korea Database Promotion Center
    • Digital Contents
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    • no.7 s.158
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    • pp.119-121
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    • 2006
  • PDF