Bericht

The IWi Process Model Corpus

Tom Thaler; Sharam Dadashnia; Andreas Sonntag; Peter Fettke; Peter Loos
Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI), Publications of the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI), IWi-Heft, Vol. 199, 10/2015.

Abstract

In spite of the current research activities developing methods and techniques for busi-ness process model analysis, an adequate and homogeneous data basis is still missing. Referring to other research disciplines like computer linguistics or biology, a compre-hensive, standardized and digitally available data corpus may lead to a better and con-sistent understanding of businesses in different domains as well as of the corresponding business information systems. Especially in the context of business process management, such a corpus is of high importance as it improves the creation of particular business process landscapes and the development of standardized evaluations. Against that background, this article presents the IWi Process Model Corpus extending the Refer-ence Model Catalogue, which was developed by the IWi in 2006, with processable pro-cess model data. Thereby, its characteristics as well as correspondences between the contained sub corpora and between different single models are focused. In the current version, the corpus contains reference models, models from practice and models from controlled modelling environments and, in total, comprises 24 model collections with 4,426 process models and mappings for more than 137,000 model pairs.

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BibTeX

http://www.uni-saarland.de/fileadmin/user_upload/Professoren/fr13_ProfLoos/IWi-Hefte/IWi_Heft_199_IWI_Corpus_final.pdf