• Title/Summary/Keyword: Science and Technology Contents

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A Study on the Identification Algorithm for Organization's Name of Author of Korean Science & Technology Contents (국내 과학기술콘텐츠 저자의 소속기관명 식별을 위한 소속기관명 자동 식별 알고리즘에 관한 연구)

  • Kim, Jinyoung;Lee, Seok-Hyong;Suh, Dongjun;Kim, Kwang-Young;Yoon, Jungsun
    • Journal of Digital Contents Society
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    • v.18 no.2
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    • pp.373-382
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    • 2017

  • As the number of scientific and technical contents increases, services that support efficient search of scientific and technical contents are required. When an author's affiliation is used as a keyword, not only the contents produced by the affiliation can be searched, but also the identification rate of the search result using the author and the term as keyword can be improved. Because of the ambiguity and vagueness of the data used as a search keyword, the search result may include false negative or false positive. However, the previous research on the control through identification of the search keyword is mainly focused on the author data and terminology data. In this paper, we propose the algorithm to identify affiliations and experiment with show the experiment with scientific and technological contents held by the Korea Institute of Science and Technology Information.

  • https://doi.org/10.9728/dcs.2017.18.2.373 인용 PDF KSCI