abstract
- Data analysis workflows (DAWs) are widely used in the scientific world. However, different communities created a plethora of domain-specific languages (DSLs) to specify their DAWs. Consequently, across DSLs, it is hard to perform operations on DAWs such as share, port, compare, re-use, adapt, or even merge. Thus, we have analyzed DAW specification languages and created a unified DAW metamodel. Given an instance of a DAW specification that can be matched to our metamodel, we are now able to apply CRUD operations (create, read, update, delete), and can potentially translate between different DAW specification languages. Access provided by Humboldt Universität zu Berlin. Download conference paper PDF Similar content being viewed by others DaVe: A Semantic Data Value Vocabulary to Enable Data Value Characterisation Chapter © 2019 DABS-Storm: A Data-Aware Approach for Elastic Stream Processing Chapter © 2019 Linux System Call Level Dynamic Analysis Towards Programming Language Translation Chapter © 2025 Explore related subjects Discover the latest articles, books and news in related subjects, suggested using machine learning. Computational platforms and environments Data Analysis and Big Data Data Engineering Data processing Lisp Technical Languages Model Transformation Techniques in Software Engineering