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ファイル | 記述 | サイズ | フォーマット | |
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llc_fqab040.pdf | 3.31 MB | Adobe PDF | 見る/開く |
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DCフィールド | 値 | 言語 |
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dc.contributor.author | Nishioka, Chifumi | en |
dc.contributor.author | Nagasaki, Kiyonori | en |
dc.contributor.alternative | 西岡, 千文 | ja |
dc.contributor.alternative | 永崎, 研宣 | ja |
dc.date.accessioned | 2022-03-24T07:43:05Z | - |
dc.date.available | 2022-03-24T07:43:05Z | - |
dc.date.issued | 2021-10 | - |
dc.identifier.uri | http://hdl.handle.net/2433/268983 | - |
dc.description.abstract | Numerous libraries and museums have adopted the International Image Interoperability Framework (IIIF) that promotes mutual use of images among different institutions. In a IIIF-compatible digital collection, images are retrieved via IIIF Image API (Application Programming Interface), wherein regions of images can be specified. Thus, it is possible to investigate image usage in detail by examining the image regions that have been requested. In this article, we propose a log analysis method to measure the image usage and to visualize the analysis outcomes. Specifically, we employ the number of accesses to each pixel and visualize the results using heat maps. Given that a pixel is the smallest image unit, we apply herein a fine-grained analysis. The analysis method can be used in different applications including research tools in which researchers examine images and heat maps that show which regions of the images have already been examined by collaborators. | en |
dc.language.iso | eng | - |
dc.publisher | Oxford University Press (OUP) | en |
dc.rights | This is a pre-copyedited, author-produced version of an article accepted for publication in [Digital Scholarship in the Humanities] following peer review. The version of record [Chifumi Nishioka, Kiyonori Nagasaki, Understanding IIIF image usage based on server log analysis, Digital Scholarship in the Humanities, Volume 36, Issue Supplement_2, October 2021, Pages ii210–ii221] is available online at: https://doi.org/10.1093/llc/fqab040. | en |
dc.rights | The full-text file will be made open to the public on 1 June 2023 in accordance with publisher's 'Terms and Conditions for Self-Archiving'. | en |
dc.rights | This is not the published version. Please cite only the published version. この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。 | en |
dc.title | Understanding IIIF image usage based on server log analysis | en |
dc.type | journal article | - |
dc.type.niitype | Journal Article | - |
dc.identifier.jtitle | Digital Scholarship in the Humanities | en |
dc.identifier.volume | 36 | - |
dc.identifier.issue | Supplement_2 | - |
dc.identifier.spage | ii210 | - |
dc.identifier.epage | ii221 | - |
dc.relation.doi | 10.1093/llc/fqab040 | - |
dc.textversion | author | - |
dcterms.accessRights | open access | - |
datacite.date.available | 2023-06-01 | - |
datacite.awardNumber | 18K13235 | - |
datacite.awardNumber | 20K20132 | - |
datacite.awardNumber.uri | https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-18K13235/ | - |
datacite.awardNumber.uri | https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20K20132/ | - |
dc.identifier.pissn | 2055-7671 | - |
dc.identifier.eissn | 2055-768X | - |
jpcoar.funderName | 日本学術振興会 | ja |
jpcoar.funderName | 日本学術振興会 | ja |
jpcoar.awardTitle | 学習ログを活用した学術論文推薦システムの研究開発と評価 | ja |
jpcoar.awardTitle | 日本におけるオープン・サイテーションの研究開発と人文社会学系情報基盤における実証 | ja |
出現コレクション: | 学術雑誌掲載論文等 |
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