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ZENODO
Audiovisual . 2020
License: CC BY
Data sources: ZENODO
ZENODO
Audiovisual . 2020
License: CC BY
Data sources: Datacite
ZENODO
Audiovisual . 2020
License: CC BY
Data sources: Datacite
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addClaim

Add Data to YAWL Workflows by Drag and Drop

Authors: Hense, Andreas;

Add Data to YAWL Workflows by Drag and Drop

Abstract

How can data be added, structured, and managed in YAWL workflows?This video introduces the data perspective in YAWL and demonstrates how workflow data is defined and configured based on an existing control-flow model. Building on a previously created workflow, the tutorial explains how to create and edit net variables and decomposition variables, how data types are assigned, and how variable scopes influence data visibility and lifecycle. The video highlights YAWL’s explicit handling of input and output data for tasks and shows how data values can be used in split predicates to control routing decisions during execution. A step-by-step walkthrough guides viewers through the YAWL editor, illustrating how to connect to the YAWL engine, configure data types (including Boolean variables), and use drag-and-drop mechanisms for efficient modeling. A downloadable YAWL specification is provided so viewers can follow along or continue from earlier tutorials. This tutorial is part of the playlist “Learn how to automate business processes with YAWL (BASIC)”:https://www.youtube.com/playlist?list=PL4BZgFsmRzfSEP_8nCqHt3N2X_XzRNen2 Supplementary material, including the YAWL models used in this tutorial, is available on GitHub:https://github.com/ahense/YAWL (Download via “Code” → “Download ZIP”. The material is located in the folder corresponding to the tutorial number.) This is video #5 of the YAWLSeries.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average