From a Dynamic Image Annotation Process within the Humanities to a Canonical Workflow | Zendy

Andreas Pfeil | Zendy; Thomas Jejkal | Zendy; Danah Tonne | Zendy; Germaine Götzelmann | Zendy

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From a Dynamic Image Annotation Process within the Humanities to a Canonical Workflow

Author(s) -

Andreas Pfeil,

Thomas Jejkal,

Danah Tonne,

Germaine Götzelmann

Publication year - 2022

Publication title -

data intelligence

Language(s) - English

Resource type - Journals

eISSN - 2096-7004

pISSN - 2641-435X

DOI - 10.1162/dint_a_00138

Subject(s) - workflow , computer science , context (archaeology) , automation , annotation , process (computing) , realization (probability) , matching (statistics) , software engineering , data science , artificial intelligence , database , programming language , engineering , mathematics , geography , mechanical engineering , statistics , archaeology

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.

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