• Title/Summary/Keyword: Patent full-text database

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A Study of Patent Document Processing by SGML (SGML을 이용한 특허정보처리 연구)

  • Kwon, Young-Sook
    • Journal of Information Management
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    • v.30 no.3
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    • pp.44-54
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    • 1999
  • A description of SGML(Standard Generalized Markup Language) is given together with a detailed description of WIPO Standard ST.32. The benefits of the use of SGML are highlighted-its system Independence and flexibility in building publication systems and full-text databases. A structure of WIPO Standard ST,32 based patent content is defined by DTD(document type definition) written in ST.32, and full-text itself is described with generalized markup depending on DTD. This article explains how to represent a document structure : a hierarchy structure like a entire document, a specific, sub-document, a paragraph, or non-hirarchy structure like a table drawings, or chemical structures. Merits of SGML In patent document processing are also discussed.

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Information Searching on STN Web (STN Easy & ChemPort) (인터넷 웹에서의 STN 검색)

  • Yoo, Sun-Hi
    • Journal of Information Management
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    • v.30 no.1
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    • pp.11-28
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    • 1999
  • STN(The Scientific & Technical Information Network) is a fee-based, comprehensive, online search service that provides. accurate, up-to-date information from over 200 scientific, technical, business, and patent databases. STN Easy(http: //stneasy.cas.org) provides point-and-click access to 59 selected key STN databases on the web, and it gives drawings and 3-dimensional chemical structures as well as citation-abstract informations. And information searchers are now able to access full-text documents from key scientific publishers and patent offices through STN Easy via the ChemPort(http://www.chemport.org) connection.

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A Study on Development of Patent Information Retrieval Using Textmining (텍스트 마이닝을 이용한 특허정보검색 개발에 관한 연구)

  • Go, Gwang-Su;Jung, Won-Kyo;Shin, Young-Geun;Park, Sang-Sung;Jang, Dong-Sik
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.8
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    • pp.3677-3688
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    • 2011
  • The patent information retrieval system can serve a variety of purposes. In general, the patent information is retrieved using limited key words. To identify earlier technology and priority rights repeated effort is needed. This study proposes a method of content-based retrieval using text mining. Using the proposed algorithm, each of the documents is invested with characteristic value. The characteristic values are used to compare similarities between query documents and database documents. Text analysis is composed of 3 steps: stop-word, keyword analysis and weighted value calculation. In the test results, the general retrieval and the proposed algorithm were compared by using accuracy measurements. As the study arranges the result documents as similarities of the query documents, the surfer can improve the efficiency by reviewing the similar documents first. Also because of being able to input the full-text of patent documents, the users unacquainted with surfing can use it easily and quickly. It can reduce the amount of displayed missing data through the use of content based retrieval instead of keyword based retrieval for extending the scope of the search.