Leopold, Henrik, Christian Meilicke, Michael Fellmann, Fabian Pittke, Heiner Stuckenschmidt and Jan Mendling (2015)

Towards the automated annotation of process models

in: Zdravkovic, Jelena, Marite Kirikova and Paul Johannesson (ed.): Proceedings of the 27th International Conference on Advanced Information Systems Engineering (CAiSE): 9097, Springer, (2015), 401-416.

Copy reference link   DOI: 10.1007/978-3-319-19069-3_25

Abstract: Many techniques for the advanced analysis of process models build on the annotation of process models with elements from predefined vocabularies such as taxonomies. However, the manual annotation of process models is cumbersome and sometimes even hardly manageable taking the size of taxonomies into account. In this paper, we present the first approach for automatically annotating process models with the concepts of a taxonomy. Our approach builds on the corpus-based method of second-order similarity, different similarity functions, and a Markov Logic formalization. An evaluation with a set of 12 process models consisting of 148 activities and the PCF taxonomy consisting of 1,131 concepts demonstrates that our approach produces satisfying results.

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