Abstract
Process models are essential tools for managing, understanding and changing business processes. Yet, from a user perspective they can quickly become too complex to deal with. Abstraction – aggregating detailed fragments into more coarse-grained ones – has proven to be a valuable technique to simplify the view on a process model. Various techniques that automate the decision of which model fragments to aggregate have been defined and validated by recent research, but their application is hampered by the lack of abilities to generate meaningful names for such aggregated parts. In this paper, we address this problem by investigating naming strategies for individual model fragments and process models as a whole. Our contribution is an automatic naming approach that builds on the linguistic analysis of process models from industry.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Rosemann, M.: Potential pitfalls of process modeling: part a. Business Process Management Journal 12(2), 249–254 (2006)
Eshuis, R., Grefen, P.: Constructing customized process views. Data Knowl. Eng. 64(2), 419–438 (2008)
Polyvyanyy, A., Smirnov, S., Weske, M.: Process model abstraction: A slider approach. In: Proceedings of EDOC (2008)
Smirnov, S., Reijers, H.A., Nugteren, T., Weske, M.: Business Process Model Abstraction: Theory and Practice. Technical Report 35 (2010)
Reijers, H.A., Mendling, J.: Modularity in process models: Review and effects. In: Dumas, M., Reichert, M., Shan, M.-C. (eds.) BPM 2008. LNCS, vol. 5240, pp. 20–35. Springer, Heidelberg (2008)
Mendling, J., Reijers, H.A., Recker, J.: Activity labeling in process modeling: Empirical insights and recommendations. Inf. Syst. 35(4), 467–482 (2010)
Keller, G., Teufel, T.: Sap R/3 Process Oriented Implementation. Addison-Wesley Longman Publishing Co., Inc., Boston (1998)
Reijers, H., Limam, S., van der Aalst, W.: Product-based workflow design. Journal of Management Information Systems 20(1), 229–262 (2003)
Leopold, H., Smirnov, S., Mendling, J.: Refactoring of process model activity labels. In: Hopfe, C.J., Rezgui, Y., Métais, E., Preece, A., Li, H. (eds.) NLDB 2010. LNCS, vol. 6177, pp. 268–276. Springer, Heidelberg (2010)
Decker, G., Mendling, J.: Process instantiation. Data Knowl. Eng. 68(9), 777–792 (2009)
Leopold, H.: Modularization of business process models using natural language techniques. Master’s thesis, Humboldt-Universität zu Berlin (2010)
Eshuis, R., Grefen, P.: Constructing Customized Process Views. Data Knowl. Eng. 64(2), 419–438 (2008)
Günther, C.W., van der Aalst, W.M.P.: Fuzzy Mining – Adaptive Process Simplification Based on Multi-perspective Metrics. In: Alonso, G., Dadam, P., Rosemann, M. (eds.) BPM 2007. LNCS, vol. 4714, pp. 328–343. Springer, Heidelberg (2007)
Smirnov, S., Weidlich, M., Mendling, J.: Business process model abstraction based on behavioral profiles. In: Maglio, P.P., Weske, M., Yang, J., Fantinato, M. (eds.) ICSOC 2010. LNCS, vol. 6470, pp. 1–16. Springer, Heidelberg (2010)
Smirnov, S., Dijkman, R., Mendling, J., Weske, M.: Meronymy-based aggregation of activities in business process models. In: Parsons, J., Saeki, M., Shoval, P., Woo, C., Wand, Y. (eds.) ER 2010. LNCS, vol. 6412, pp. 1–14. Springer, Heidelberg (2010)
Ehrig, M., Koschmider, A., Oberweis, A.: Measuring similarity between semantic business process models. In: Proceedings of APCCM, pp. 71–80 (2007)
van Dongen, B.F., Dijkman, R., Mendling, J.: Measuring similarity between business process models. In: Bellahsène, Z., Léonard, M. (eds.) CAiSE 2008. LNCS, vol. 5074, pp. 450–464. Springer, Heidelberg (2008)
Dijkman, R., Dumas, M., van Dongen, B., Käärik, R., Mendling, J.: Similarity of business process models: Metrics and evaluation. Inf. Systems 36, 498–516 (2010)
Weidlich, M., Dijkman, R., Mendling, J.: The iCoP framework: Identification of correspondences between process models. In: Pernici, B. (ed.) CAiSE 2010. LNCS, vol. 6051, pp. 483–498. Springer, Heidelberg (2010)
Lin, Y., Ding, H.: Ontology-based semantic annotation for semantic interoperability of process models. In: Proc. of CIMCA/IAWTIC, pp. 162–167 (2005)
de AR Gonçalves, J.C., Santoro, F.M., Baiao, F.A.: A case study on designing processes based on collaborative and mining approaches. In: Int. Conf. CSCWD (2010)
Kop, C., Vöhringer, J., Hölbling, M., Horn, T., Mayr, H.C., Irrasch, C.: Tool supported extraction of behavior models. In: ISTA, pp. 114–123 (2005)
Ghose, A.K., Koliadis, G., Chueng, A.: Rapid business process discovery (R-BPD). In: Parent, C., Schewe, K.-D., Storey, V.C., Thalheim, B. (eds.) ER 2007. LNCS, vol. 4801, pp. 391–406. Springer, Heidelberg (2007)
Friedich, F., Mendling, J., Puhlmann, F.: Process model generation from natural language text. In: Proc. of CAISE. LNCS (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Leopold, H., Mendling, J., Reijers, H.A. (2011). On the Automatic Labeling of Process Models. In: Mouratidis, H., Rolland, C. (eds) Advanced Information Systems Engineering. CAiSE 2011. Lecture Notes in Computer Science, vol 6741. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21640-4_38
Download citation
DOI: https://doi.org/10.1007/978-3-642-21640-4_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21639-8
Online ISBN: 978-3-642-21640-4
eBook Packages: Computer ScienceComputer Science (R0)