Towards the Automated Annotation of Process Models
| Autor: | Fabian Pittke, Jan Mendling, Henrik Leopold, Michael Fellmann, Heiner Stuckenschmidt, Christian Meilicke |
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| Přispěvatelé: | Software and Sustainability (S2), Network Institute, Business Informatica |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: | |
| Zdroj: | Proceeding of the 27th International Conference on Advanced Information Systems Engineering (CAiSE 2015), 9097, 401-416 Leopold, H, Meilicke, C, Fellmann, M, Pittke, F, Stuckenschmidt, H & Mendling, J 2016, Towards the Automated Annotation of Process Models . in Proceeding of the 27th International Conference on Advanced Information Systems Engineering (CAiSE 2015) . vol. 9097, Lecture Notes in Computer Science, vol. 9097, Springer, pp. 401-416 . https://doi.org/10.1007/978-3-319-19069-3_25 Advanced Information Systems Engineering ISBN: 9783319190686 CAiSE |
| DOI: | 10.1007/978-3-319-19069-3_25 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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