Cloud-based digitization workflow with rich metadata acquisition for cultural heritage objects
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866909994813751296 |
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| author | Kutt, Krzysztof Miranda, Luiz do Valle Gomułka, Jakub Nalepa, Grzegorz J. |
| author_facet | Kutt, Krzysztof Miranda, Luiz do Valle Gomułka, Jakub Nalepa, Grzegorz J. |
| contents | In response to several cultural heritage initiatives at the Jagiellonian University, we developed a new digitization workflow in collaboration with the Jagiellonian Library (JL). The solution is based on easy-to-access technological solutions -- Microsoft 365 cloud with MS Excel files as metadata acquisition interfaces, Office Script for validation, and MS Sharepoint for storage -- that allows metadata acquisition by domain experts regardless of their experience with information systems. The ultimate goal is to create a knowledge graph that describes the analyzed collections, linked to general knowledge bases, as well as to other cultural heritage collections, so careful attention is paid to the high accuracy of metadata and proper links to external sources. The workflow was evaluated in two pilot studies and in two workshops, which allowed for its refinement and confirmation of its correctness and usability for JL. The knowledge graph created as a result of these pilot studies was made available in a public git repository. As the proposed workflow does not interfere with existing systems or domain guidelines regarding digitization and basic metadata collection in a given institution, but extends them in order to enable rich metadata collection, not previously possible, we believe that it could be of interest to all GLAMs. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_06972 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Cloud-based digitization workflow with rich metadata acquisition for cultural heritage objects Kutt, Krzysztof Miranda, Luiz do Valle Gomułka, Jakub Nalepa, Grzegorz J. Digital Libraries Artificial Intelligence Human-Computer Interaction In response to several cultural heritage initiatives at the Jagiellonian University, we developed a new digitization workflow in collaboration with the Jagiellonian Library (JL). The solution is based on easy-to-access technological solutions -- Microsoft 365 cloud with MS Excel files as metadata acquisition interfaces, Office Script for validation, and MS Sharepoint for storage -- that allows metadata acquisition by domain experts regardless of their experience with information systems. The ultimate goal is to create a knowledge graph that describes the analyzed collections, linked to general knowledge bases, as well as to other cultural heritage collections, so careful attention is paid to the high accuracy of metadata and proper links to external sources. The workflow was evaluated in two pilot studies and in two workshops, which allowed for its refinement and confirmation of its correctness and usability for JL. The knowledge graph created as a result of these pilot studies was made available in a public git repository. As the proposed workflow does not interfere with existing systems or domain guidelines regarding digitization and basic metadata collection in a given institution, but extends them in order to enable rich metadata collection, not previously possible, we believe that it could be of interest to all GLAMs. |
| title | Cloud-based digitization workflow with rich metadata acquisition for cultural heritage objects |
| topic | Digital Libraries Artificial Intelligence Human-Computer Interaction |
| url | https://arxiv.org/abs/2407.06972 |