ATWL: A Formal Language for Representing, Comparing, and Reusing Visual Analytics Workflows
The paper introduces the Artifact-Transform Workflow Language (ATWL), a formal language designed for visual analytics workflows. ATWL aims to improve the representation, comparison, and reuse of these workflows by capturing their structure and analytical intent. The authors demonstrate the utility of ATWL through a library of workflows and experiments comparing traditional prose descriptions to formal representations.
- ▪ATWL is a domain-agnostic, declarative language for representing visual analytics workflows.
- ▪The language captures the structure and underlying analytical intent of workflows through a modular ontology.
- ▪A library of seventeen ATWL workflows was constructed from published visual analytics papers.
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Computer Science > Artificial Intelligence arXiv:2605.25489 (cs) [Submitted on 25 May 2026] Title:ATWL: A Formal Language for Representing, Comparing, and Reusing Visual Analytics Workflows Authors:Natalia Andrienko, Gennady Andrienko, Jürgen Bernard, Michael Sedlmair View a PDF of the paper titled ATWL: A Formal Language for Representing, Comparing, and Reusing Visual Analytics Workflows, by Natalia Andrienko and 3 other authors View PDF HTML (experimental) Abstract:Visual analytics (VA) workflows are inherently complex, involving data transformation, feature engineering, visual representation, and human interpretation. They are typically described in unstructured prose, hindering systematic comparison, reuse of proven strategies, and training of novices.
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