商品情報にスキップ
1 1

論文で引用された研究データの同定と分類

論文で引用された研究データの同定と分類

通常価格 ¥770 JPY
通常価格 セール価格 ¥770 JPY
セール 売り切れ
税込

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2020/12/01

タイトル(英語): Identification and Classification of Research Data Cited in Scholarly Papers

著者名: 角掛 正弥(名古屋大学大学院情報学研究科),松原 茂樹(名古屋大学情報連携推進本部)

著者名(英語): Masaya Tsunokake (Graduate School of Informatics, Nagoya University), Shigeki Matsubara (Information and Communications, Nagoya University)

キーワード: オープンサイエンス,研究データ,リポジトリ,URL,情報抽出,分散表現  open science,research data,repository,URL,information extraction,distributed representations

要約(英語): This paper proposes a method for identifying and classifying the research data cited in scholarly papers, aiming at automatic generation of metadata stored in data repository. This study focuses on URL citations in the scholarly papers. That is, the targets are to identify the URLs referring to the research data and to classify them into tool and data. The method is realized as a multi-class classification (tool/data/others). The method acquires the distributed representations of the URLs from the context around them, and uses them as the input feature. There exists an advantage in that the meanings of URLs can be given based on their surrounding words. This study adopts an approach of computing the meaning of the entire URL from those of the components of the URL. In order to evaluate the performance of the proposed method, experiments on URL classification were conducted. The scholarly papers included in the proceedings of the international conference were used as experimental data. Experimental results have shown the effectiveness of the proposed method for identifying and classifying URLs referring to research data.

本誌: 電気学会論文誌C(電子・情報・システム部門誌) Vol.140 No.12 (2020) 特集:電気・電子・情報関係学会東海支部連合大会

本誌掲載ページ: 1357-1364 p

原稿種別: 論文/日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/140/12/140_1357/_article/-char/ja/

販売タイプ
書籍サイズ
ページ数
詳細を表示する