Linking Manga to NDC-LD for Content-based Search

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  • GOTO Yuto
    College of Media Arts, Science and Technology, School of Informatics, University of Tsukuba
  • MIHARA Tetsuya
    Faculty of Library, Information and Media Science, University of Tsukuba
  • NAGAMORI Mitsuharu
    Faculty of Library, Information and Media Science, University of Tsukuba

Bibliographic Information

Other Title
  • マンガの内容に基づく探索のためのNDC-LDとのリンキング
  • マンガ ノ ナイヨウ ニ モトズク タンサク ノ タメ ノ NDC-LD ト ノ リンキング

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Description

<p>　Manga are often provided on Web with tags or the keywords expressing subjects for the search based on contents. However, they are less structured and not useful for semantic search. This paper proposes a method for automatic linking manga and NDC-LD entities based on the subject by using two kinds of information, their subject tags and outline on the Web explaining manga and its content. The method using subject tags is to link by the similarity of tag words and correlative catchword of NDC-LD. On the other hand, The method using the outline is to link entities extracted as characteristic words of identified heading words of NDC in the outline. This paper also applied the proposed method to for 146 manga works, and compares the result with the classification by hands and the existing automatic estimation method of NDC by the machine learning. This comparison shows that the proposed method is more efficient for the reproduction of the manual classification. (160words)</p>

Journal

  • Joho Chishiki Gakkaishi

    Joho Chishiki Gakkaishi 31 (2), 192-197, 2021-05-22

    Japan Society of Information and Knowledge

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