Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
Data sources: ZENODO
ZENODO
Dataset . 2022
Data sources: Datacite
ZENODO
Dataset . 2022
Data sources: Datacite
versions View all 3 versions
addClaim

SAP Signavio Academic Models

Authors: Kampik, Timotheus; Warmuth, Christian; Sola, Diana; Schäfer, Bernhard; Axworthy, Liz; Ivarsson, Erica; Ouda, Karim; +1 Authors

SAP Signavio Academic Models

Abstract

The SAP Signavio Academic Models (SAP-SAM) dataset contains hundreds of thousands of business process models (as well as other business models, such as business decision models and value chains) that have been created over the course of more than a decade by the SAP Signavio BPM Academic Initiative. Detailed instructions on how to work with the dataset, as well as example scripts, are available on GitHub. A paper (pre-print) that describes the dataset is available on the arXiv. Cite For citing the paper about the dataset, use the following Bibtex entry (the Bibtex entry for citing the dataset itself is provided by Zenodo): @inproceedings{DBLP:conf/icpm/SolaWSBRK22, author = {Diana Sola and Christian Warmuth and Bernhard Sch{\"{a}}fer and Peyman Badakhshan and Jana{-}Rebecca Rehse and Timotheus Kampik}, editor = {Marco Montali and Arik Senderovich and Matthias Weidlich}, title = {{SAP} Signavio Academic Models: {A} Large Process Model Dataset}, booktitle = {Process Mining Workshops - {ICPM} 2022 International Workshops, Bozen-Bolzano, Italy, October 23-28, 2022, Revised Selected Papers}, series = {Lecture Notes in Business Information Processing}, volume = {468}, pages = {453--465}, publisher = {Springer}, year = {2022}, url = {https://doi.org/10.1007/978-3-031-27815-0\_33}, doi = {10.1007/978-3-031-27815-0\_33}} LICENSE Copyright (c) 2022 by SAP. SAP grants to Recipient a non-exclusive copyright license to the Model Collection to use the Model Collection for Non-Commercial Research purposes of evaluating Recipient’s algorithms or other academic research artefacts against the Model Collection. Any rights not explicitly granted herein are reserved to SAP. For the avoidance of doubt, no rights to make derivative works of the Model Collection is granted and the license granted hereunder is for Non-Commercial Research purposes only. “Model Collection” shall mean all files in this archive (which are JSON, XML, or other representation of business process models or other models). “Recipient” means any natural person receiving the Model Collection. “Non-Commercial Research” means research solely for the advancement of knowledge whether by a university or other learning institution and does not include any commercial or other sales objectives.

Keywords

process model analysis, model collection, business process models

  • BIP!
    Impact byBIP!
    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).
    2
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 444
    download downloads 161
  • 444
    views
    161
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
2
Average
Average
Average
444
161