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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Record
| Original publisher | arXiv cs.AI |
| Canonical URL | https://arxiv.org/abs/2605.25489 |
| Publication time | Tue, 26 May 2026 00:00:00 -0400 |
| Retrieval time | 2026-05-26T04:07:43.013Z |
| Last seen | 2026-05-26T04:07:43.013Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | WUV_gpmbSu9u |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
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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Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv cs.AI.