{"created":"2025-01-19T01:15:37.822177+00:00","updated":"2025-01-19T16:26:43.715145+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00214835","sets":["6504:10735:10808"]},"path":["10808"],"owner":"44499","recid":"214835","title":["ドメイン文書による知識グラフ埋め込みを利用したオントロジ―の関係抽出手法の提案"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-04"},"_buckets":{"deposit":"3f9bf8df-2776-4a5e-9658-68f1ea34d2e2"},"_deposit":{"id":"214835","pid":{"type":"depid","value":"214835","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"ドメイン文書による知識グラフ埋め込みを利用したオントロジ―の関係抽出手法の提案","author_link":["552843","552846","552845","552844"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ドメイン文書による知識グラフ埋め込みを利用したオントロジ―の関係抽出手法の提案"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2021-03-04","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":"NTTデータ"},{"subitem_text_value":"NTTデータ"},{"subitem_text_value":"NTTデータ"},{"subitem_text_value":"NTTデータ"}]},"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/214835/files/IPSJ-Z83-7C-04.pdf","label":"IPSJ-Z83-7C-04.pdf"},"date":[{"dateType":"Available","dateValue":"2021-12-28"}],"format":"application/pdf","filename":"IPSJ-Z83-7C-04.pdf","filesize":[{"value":"229.7 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"e5ff793f-6ee7-4dcd-9d6b-372a87d4b78d","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"丸古, 凌介"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"大木, 環美"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"駒井, 雅之"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"野村, 雄司"}],"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":"ドメインオントロジーの手動構築には、膨大な時間とドメインの専門的な知識を要する。構築を効率化する方法として、オントロジーの半自動構築技術の開発を進めている。要素技術において、オントロジーとインスタンスをベクトル空間に埋め込み、ドメイン文書から概念間の情報欠落を補完しながらオントロジーの関係を抽出する手法を採用している。本手法の課題としてドメイン文書を構造化した際に少数の関係で多数のエンティティが結合され、その他の重要な関係を抽出できないことが挙げられる。本稿では多数のエンティティに結合する関係をグラフ理論に基づいて除去し、またドメイン文書における用語の重みを考慮した抽出手法を提案する。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"58","bibliographic_titles":[{"bibliographic_title":"第83回全国大会講演論文集"}],"bibliographicPageStart":"57","bibliographicIssueDates":{"bibliographicIssueDate":"2021-03-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2021"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":214835,"links":{}}