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Towards Automated Process Model Annotation with Activity Taxonomies: Use Cases and State of the Art

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Business Information Systems (BIS 2017)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 288))

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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.

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  1. Institute for Computer Science, University of Rostock, Albert-Einstein-Str. 22, 18059, Rostock, Germany

    Michael Fellmann

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  1. Michael Fellmann
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Correspondence to Michael Fellmann .

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  1. Poznan University of Economics, Poznan, Poland

    Witold Abramowicz

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Fellmann, M. (2017). Towards Automated Process Model Annotation with Activity Taxonomies: Use Cases and State of the Art. In: Abramowicz, W. (eds) Business Information Systems. BIS 2017. Lecture Notes in Business Information Processing, vol 288. Springer, Cham. https://doi.org/10.1007/978-3-319-59336-4_6

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  • DOI: https://doi.org/10.1007/978-3-319-59336-4_6

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