2026-03-07T04:06:53Z https://ipsj.ixsq.nii.ac.jp/oai

oai:ipsj.ixsq.nii.ac.jp:00241514 2025-01-19T07:38:18Z 6164:6165:6630:11866

Hierarchical Narrative Analysis: Unraveling Perceptions of Generative AI Hierarchical Narrative Analysis: Unraveling Perceptions of Generative AI 松岡, 季音声 松本, 拓樹 吉田 崇裕 渡辺, 智裕 近藤, 亮磨 久野, 遼平 Boyoung, Kim Satoru, Nakamura Yasuyuki, Minamiyama Taizo, Yamada Computational Narratology, Narrative Structure, Large Language Models, Public Comment This study examines metadata for preservation of digital materials using the open source software Archivematica, which conforms to the reference model for an Open Archival Information System (OAIS)，an international standard for digital preservation．We analyzed Archival Information Packages (AIPs) created by Archivematica using data held by the Historiographical Institute The University of Tokyo. The analysis demonstrated that the software effectively produces packages structured according to the OAIS reference model and can generate some of the metadata necessary to maintain authenticity. However, challenges related to the selection and implementation of preservation description information were highlighted. This study examines metadata for preservation of digital materials using the open source software Archivematica, which conforms to the reference model for an Open Archival Information System (OAIS)，an international standard for digital preservation．We analyzed Archival Information Packages (AIPs) created by Archivematica using data held by the Historiographical Institute The University of Tokyo. The analysis demonstrated that the software effectively produces packages structured according to the OAIS reference model and can generate some of the metadata necessary to maintain authenticity. However, challenges related to the selection and implementation of preservation description information were highlighted. 情報処理学会 2024-11-30 eng conference paper https://ipsj.ixsq.nii.ac.jp/records/241514 じんもんこん2024論文集 2024 91 98 https://ipsj.ixsq.nii.ac.jp/record/241514/files/IPSJ-CH2024013.pdf application/pdf 1.8 MB 2025-12-07