{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00220633","sets":["6504:11035:11037"]},"path":["11037"],"owner":"44499","recid":"220633","title":["Convolutional Neural Networkとドメインオントロジーを用いた定量的視点による非機能要求の要約手法の提案"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-02-17"},"_buckets":{"deposit":"7d3d03f7-71ce-4dab-b7fd-62030bc89385"},"_deposit":{"id":"220633","pid":{"type":"depid","value":"220633","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Convolutional Neural Networkとドメインオントロジーを用いた定量的視点による非機能要求の要約手法の提案","author_link":["577268","577267","577270","577269"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Convolutional Neural Networkとドメインオントロジーを用いた定量的視点による非機能要求の要約手法の提案"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ソフトウェア科学・工学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2022-02-17","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"工学院大"},{"subitem_text_value":"東芝デジタルソリューションズ株式会社"},{"subitem_text_value":"東芝デジタルソリューションズ株式会社"},{"subitem_text_value":"工学院大"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/220633/files/IPSJ-Z84-7L-01.pdf","label":"IPSJ-Z84-7L-01.pdf"},"date":[{"dateType":"Available","dateValue":"2022-10-22"}],"format":"application/pdf","filename":"IPSJ-Z84-7L-01.pdf","filesize":[{"value":"761.4 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"758517dd-d61c-4e8a-bcd6-b108910add63","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"齋川, 祐太"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"長岡, 武志"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"北川, 貴之"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"位野木, 万里"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"大規模情報システムの要求仕様書の理解を加速するために，文書の自動要約技術を活用することは有効であると考えられる．情報システムの要求仕様には，機能要求と非機能要求が含まれる．本研究では，非機能要求に焦点を当て，定量的な観点による自動要約手法を提案する．提案する手法は，Convolutional Neural Networkとドメインオントロジーに基づく2つの自動文書分類技術を組み合せることと，非機能要求の自動分類結果を定量的観点で視覚化することで要約データを生成することを特徴とする．本稿では，提案手法の適用評価についても報告する．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"338","bibliographic_titles":[{"bibliographic_title":"第84回全国大会講演論文集"}],"bibliographicPageStart":"337","bibliographicIssueDates":{"bibliographicIssueDate":"2022-02-17","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2022"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:20:39.990381+00:00","updated":"2025-01-19T14:29:34.883044+00:00","id":220633}