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dc.contributor.authorNishioka, Chifumien
dc.contributor.authorNagasaki, Kiyonorien
dc.contributor.alternative西岡, 千文ja
dc.contributor.alternative永崎, 研宣ja
dc.date.accessioned2022-03-24T07:43:05Z-
dc.date.available2022-03-24T07:43:05Z-
dc.date.issued2021-10-
dc.identifier.urihttp://hdl.handle.net/2433/268983-
dc.description.abstractNumerous 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.isoeng-
dc.publisherOxford University Press (OUP)en
dc.rightsThis 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.rightsThe 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.rightsThis 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.titleUnderstanding IIIF image usage based on server log analysisen
dc.typejournal article-
dc.type.niitypeJournal Article-
dc.identifier.jtitleDigital Scholarship in the Humanitiesen
dc.identifier.volume36-
dc.identifier.issueSupplement_2-
dc.identifier.spageii210-
dc.identifier.epageii221-
dc.relation.doi10.1093/llc/fqab040-
dc.textversionauthor-
dcterms.accessRightsopen access-
datacite.date.available2023-06-01-
datacite.awardNumber18K13235-
datacite.awardNumber20K20132-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-18K13235/-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20K20132/-
dc.identifier.pissn2055-7671-
dc.identifier.eissn2055-768X-
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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