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A BPMN Extension for Integrating Knowledge Dimension in Sensitive Business Process Models

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Book cover Information Systems (EMCIS 2017)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 299))

Abstract

While importance of knowledge dimension is well recognized, there is no clear theoretical background and successful practical experiments of inclusion and integration of this dimension in BP meta-models and BPM formalisms. This paper proposes to extend the well-known Business Process Modeling Notation (BPMN 2.0) with the knowledge dimension so that using a common modeling formalism it would be possible to relate the various types of knowledge, information and data to the business process model. This extension, called «BPMN4KM», is designed methodically by application of the extension mechanisms of BPMN 2.0. We aim at incorporating relevant issues at the intersection of knowledge management (KM) and business process modeling (BPM) in order to enrich the graphical representation of sensitive Business processes (SBPs) and improve the localization and identification of crucial knowledge mobilized and created by these processes. Besides, we evaluate the relevance of BPMN4KM concepts through a real SBP scenario from medical domain.

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Notes

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References

  1. Ben Hassen, M., Turki, M., Gargouri, F.: Modeling dynamic aspects of sensitive business processes for knowledge localization. In: International Conference on Knowledge Based and Intelligent Information and Engineering Systems, KES 2017, Marseille, France (2017)

    Google Scholar 

  2. Ben Hassen, M., Turki, M., Gargouri, F.: A proposal to model knowledge dimension in sensitive business processes. In: Madureira, A.M., Abraham, A., Gamboa, D., Novais, P. (eds.) ISDA 2016. AISC, vol. 557, pp. 1015–1030. Springer, Cham (2017). doi:10.1007/978-3-319-53480-0_100

    Chapter  Google Scholar 

  3. Ben Hassen, M., Turki, M., Gargouri, F.: Towards extending business process modeling formalisms with information and knowledge dimensions. In: Benferhat, S., Tabia, K., Ali, M. (eds.) IEA/AIE 2017. LNCS, vol. 10350, pp. 407–425. Springer, Cham (2017). doi:10.1007/978-3-319-60042-0_45

    Chapter  Google Scholar 

  4. OMG: Unified Modeling Language (UML). Version 2.0 (2007). http://www.uml.org/

  5. OMG: Business Process Model and Notation (BPMN), Version 2.0.2 (2013). http://www.omg.org/spec/BPMN/2.0.2/pdf/

  6. Gronau, N., Korf, R., Müller, C.: KMDL-capturing, analysing and improving knowledge-intensive business processes. J. Univ. Comput. Sci. 11(4), 452–472 (2005)

    Google Scholar 

  7. Arbeitsbericht: KMDL® v2.2 (2009). http://www.kmdl.de/

  8. Woitsch, R., Karagiannis, D.: Process oriented knowledge management: a service based approach. J. Univ. Comput. Sci. 11(4), 565–588 (2005)

    Google Scholar 

  9. Netto, J.M., Franca, J.B.S., Baião, F.A., Santoro, F.M.: A notation for knowledge-intensive processes. In: IEEE 17th International Conference on Computer Supported Cooperative Work in Design, vol. 1, pp. 1–6 (2013)

    Google Scholar 

  10. Ben Hassen, M., Turki, M., Gargouri, F.: Choosing a sensitive business process modeling formalism for knowledge identification. Proced. Comput. Sci. 100, 1002–1015 (2016)

    Article  Google Scholar 

  11. Ben Hassen, M., Turki, M., Gargouri, F.: Sensitive business processes representation: a multi-dimensional comparative analysis of business process modeling formalisms. In: Shishkov, B. (ed.) BMSD 2016. LNBIP, vol. 275, pp. 83–118. Springer, Cham (2017). doi:10.1007/978-3-319-57222-2_5

    Chapter  Google Scholar 

  12. Recker, J., Rosemann, M., Indulska, M., Green, P.: Business process modeling: a comparative analysis. J. Assoc. Inf. 10, 333–363 (2009)

    Google Scholar 

  13. Supulniece, I., Businska, L., Kirikova, M.: Towards extending BPMN with the knowledge dimension. In: Bider, I., Halpin, T., Krogstie, J., Nurcan, S., Proper, E., Schmidt, R., Ukor, R. (eds.) BPMDS/EMMSAD -2010. LNBIP, vol. 50, pp. 69–81. Springer, Heidelberg (2010). doi:10.1007/978-3-642-13051-9_7

    Chapter  Google Scholar 

  14. Businska, L., Kirikova, M.: Knowledge dimension in business process modeling. In: Nurcan, S. (ed.) CAiSE Forum 2011. LNBIP, vol. 107, pp. 186–201. Springer, Heidelberg (2012). doi:10.1007/978-3-642-29749-6_13

    Chapter  Google Scholar 

  15. Ammann, E.M.: Modeling of knowledge-intensive business processes. World Acad. Sci. Eng. Technol., Int. J. Soc. Behav. Educ. Bus. Ind. Eng. 6(11), 3144–3150 (2012)

    Google Scholar 

  16. dos Santos França, J.B., Netto, J.M., do ES Carvalho, J., Santoro, F.M., Baião, F.A., Pimentel, M.: KIPO: the knowledge-intensive process ontology. Softw. Syst. Model. 14(3), 1127–1157 (2015)

    Article  Google Scholar 

  17. Ammann, E.: BPMN-KEC – an extension of BPMN for knowledge-related business process modeling. Internal Report, Reutlingen University (2008)

    Google Scholar 

  18. OMG Final Adopted Specification. Business Process Modeling Notation Specification (2008). http://www.omg.org/spec/BPMN/1.1/

  19. Charfi, A., Turki, S.H., Chaabane, A., Witteborg, H., Bouaziz, R.: A model-driven approach to developing web service compositions based on BPMN4SOA. Int. J. Reason.-Based Intell. Syst. 3(3–4), 194–204 (2011)

    Google Scholar 

  20. Stroppi, L.J.R., Chiotti, O., Villarreal, P.D.: Extending BPMN 2.0: method and tool support. In: Dijkman, R., Hofstetter, J., Koehler, J. (eds.) BPMN 2011. LNBIP, vol. 95, pp. 59–73. Springer, Heidelberg (2011). doi:10.1007/978-3-642-25160-3_5

    Chapter  Google Scholar 

  21. Jankovic, M., Ljubicic, M., Anicic, N., Marjanovic, Z.: Enhancing BPMN 2.0 informational perspective to support interoperability for cross-organizational business processes. Comput. Sci. Inf. Syst. 12(3), 1101–1120 (2015)

    Google Scholar 

  22. Braun, R., Esswein, W.: Classification of domain-specific BPMN extensions. In: Frank, U., Loucopoulos, P., Pastor, Ó., Petrounias, I. (eds.) PoEM 2014. LNBIP, vol. 197, pp. 42–57. Springer, Heidelberg (2014). doi:10.1007/978-3-662-45501-2_4

    Google Scholar 

  23. Kassel, G.: Integration of the DOLCE top-level ontology into the OntoSpec methodology (2005)

    Google Scholar 

  24. Kassel, G., Turki, M., Saad, I., Gargouri, F.: From collective actions to actions of organizations: an ontological analysis. In: Symposium Understanding and Modelling Collective Phenomena (UMoCop), University of Birmingham, Birmingham, England (2012)

    Google Scholar 

  25. Turki, M., Kassel, G., Saad, I., Gargouri, F.: A core ontology of business processes based on DOLCE. J. Data Semant. 5(3), 165–177 (2016)

    Article  Google Scholar 

  26. Masolo, C., Vieu, L., Bottazzi, E., Catenacci, C., Ferrario, R., Gangemi, A., Guarino, N.: Social roles and their descriptions. In: Dubois, D., Welty, C. (eds.) Proceedings of the Ninth International Conference on the Principles of Knowledge Representation and Reasoning, pp. 267–277 (2004)

    Google Scholar 

  27. Braun, R., Schlieter, H., Burwitz, M., Esswein, W.: Extending a business process modeling language for domain-specific adaptation in healthcare. In: Wirtschaftsinformatik, pp. 468–481(2015)

    Google Scholar 

  28. BPMN2 Modeler. http://www.eclipse.org/bpmn2-modeler/

  29. Turki, M., Saad, I., Gargouri, F., Kassel, G.: A business process evaluation methodology for knowledge management based on multi-criteria decision making approach. In: Information Systems for Knowledge Management. Wiley-ISTE (2014). ISBN 978-1-84821-664-8

    Google Scholar 

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Authors and Affiliations

  1. ISIMS, MIRACL Laboratory, University of Sfax, B.P. 242, 3021, Sfax, Tunisia

    Mariam Ben Hassen, Mohamed Turki & Faïez Gargouri

Authors
  1. Mariam Ben Hassen
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  2. Mohamed Turki
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  3. Faïez Gargouri
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Corresponding author

Correspondence to Mariam Ben Hassen .

Editor information

Editors and Affiliations

  1. Department of Digital Systems, University of Piraeus, Piraeus, Greece

    Marinos Themistocleous

  2. Department of Management and Technology, Bocconi University, Milan, Italy

    Vincenzo Morabito

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Ben Hassen, M., Turki, M., Gargouri, F. (2017). A BPMN Extension for Integrating Knowledge Dimension in Sensitive Business Process Models. In: Themistocleous, M., Morabito, V. (eds) Information Systems. EMCIS 2017. Lecture Notes in Business Information Processing, vol 299. Springer, Cham. https://doi.org/10.1007/978-3-319-65930-5_44

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  • DOI: https://doi.org/10.1007/978-3-319-65930-5_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65929-9

  • Online ISBN: 978-3-319-65930-5

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