From a Dynamic Image Annotation Process within the Humanities to a Canonical Workflow
One idea of the Canonical Workflow Framework for Research (CWFR) is to improve the reusability and automation in research. In this paper, we aim to deliver a concrete view on the application of CWFRs to a use case of the arts and humanities to enrich further discussions on the practical realization...
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| Veröffentlicht in: | Data intelligence 2022-04, Vol.4 (2), p.386-397 |
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| creator | Pfeil, Andreas Jejkal, Thomas Tonne, Danah Götzelmann, Germaine |
| description | One idea of the Canonical Workflow Framework for Research (CWFR) is to improve the reusability and automation in research. In this paper, we aim to deliver a concrete view on the application of CWFRs to a use case of the arts and humanities to enrich further discussions on the practical realization of canonical workflows and the benefits that come with it. This use case involves context dependent data transformation and feature extraction, ingests into multiple repositories as well as a “human-in-the-loop” workflow step, which introduces a certain complexity into the mapping to a canonical workflow. |
| doi_str_mv | 10.1162/dint_a_00138 |
| format | Article |
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| source | DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals; ProQuest Central UK/Ireland; ProQuest Central |
| subjects | Annotations Automation CWFR Digitization Extensible Markup Language FAIR Feature extraction Humanities Metadata Provenance Reproducibility Research data management Resource Description Framework-RDF Workflow |
| title | From a Dynamic Image Annotation Process within the Humanities to a Canonical Workflow |
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