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Workflows offer scientists a simple but flexible programming model at a level of abstraction closer to the domain-specific activities that they seek to perform. However, languages for describing workflows tend to be highly complex, or specialized towards a particular domain, or both. WOOL is an abstract workflow language with human-readable syntax, intuitive semantics, and a powerful abstract type system. WOOL workflows can be targeted to almost any kind of runtime system supporting data-flow computation. This paper describes the design of the WOOL language and the implementation of its compiler, along with a simple example runtime. We demonstrate its use in an image-processing workflow.
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Stored only when both papers are in the corpus — 7 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.