Fellmann, Michael (2017) Towards Automated Process Model Annotation with Activity Taxonomies: Use Cases and State of the Art. In: 20th International Conference on Business Information Systems, 28–30 June 2017, Poznan, Poland.
Full text not available from this repository.Abstract
In business process modeling, semi-formal models typically rely on natural language to express the labels of model elements. This can easily lead to ambiguities and misinterpretations. To mitigate this issue, the combination of process models with formal ontologies or predefined vocabularies has often been suggested. A cornerstone of such suggestions is to annotate elements from process models with ontologies or predefined vocabularies. Although annotation is suggested in such works, past and current approaches still lack strategies for automating the annotation task which is otherwise labor intensive and prone to errors. In this paper, first an example for use cases is given and then a comprehensive overview of the state of the art of annotation approaches is presented. The paper at hand thus may provide a starting point and basis for researchers engaged in (semi-)automatically linking semi-formal process models with more formal knowledge representations.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Depositing User: | Nikola Ivanovic |
| Date Deposited: | 10 Oct 2018 06:55 |
| Last Modified: | 10 Oct 2018 06:55 |
| URI: | http://eprints.win.informatik.uni-rostock.de/id/eprint/608 |
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