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Extending BPMN Model for Improving Expressiveness and Machine-Understandability

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New Advances in Information Systems and Technologies

Abstract

BPMN has become the preferred support for modelling and describing processes in the context of process developing. Nevertheless, several shortcomings have been identified in its application in particular usage scenarios. In particular, contexts demanding real-time monitoring of manual services, or with requirements to feed Data Analytics system can not take full advantage of BPMN. This papers address this arising issue by suggesting an extension for BPMN. This backwards compliant enhancement supports the definition of probe-oriented features to support services aimed at facilitating the fully automatic data processing in many scenarios.

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References

  1. BPI LAB, U.N.I.o.S., Technology: Samsung electro-mechanics (2013)

    Google Scholar 

  2. van Dongen, B.F., de Medeiros, A.K.A., Verbeek, H., Weijters, A., Van Der Aalst, W.M.: The prom framework: A new era in process mining tool support. In: Applications and Theory of Petri Nets 2005, pp. 444–454. Springer (2005)

    Google Scholar 

  3. Fluxicon: Case study - Refund Service Process. Available at http://www.win.tue.nl/ieeetfpm/lib/exe/fetch.php?media=:casestudies:processmining_refundprocess-en.pdf (accessed October 12, 2015).

  4. Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The weka data mining software: an update. ACM SIGKDD explorations newsletter 11(1), 10–18 (2009)

    Google Scholar 

  5. Perceptive software: Case study - Electric and Gas Utility. Alliander (2012). Available at http://www.win.tue.nl/ieeetfpm/lib/exe/fetch.php?media=:casestudies:perceptive_alliander_case_study.pdf (accessed October 12, 2015)

  6. University of Ljubljana.: Orange Data Mining.

    Google Scholar 

  7. Mans, R.S., Schonenberg, M., Song, M., van der Aalst, W.M., Bakker, P.J.: Application of process mining in healthcare–a case study in a Dutch hospital. Springer (2009)

    Google Scholar 

  8. OMG: Business process model and notation (BPMN) version 2.0 (2011), version 2.0

    Google Scholar 

  9. Sanz-Valero, J., Álvarez Sabucedo, L., Wanden-Berghe, C., Alonso Roris, V., Santos Gago, J., et al.: Sun-pp236: Deployment of a tag-based system to ensure traceability management of parenteral nutrient mixtures. Clinical Nutrition 34, S111 (2015)

    Google Scholar 

  10. Tu/e: Isalas Question. Available at http://www.win.tue.nl/ieeetfpm/lib/exe/fetch.php?media=:casestudies:isalacasestudy.pdf (accessed October 12, 2015)

  11. Diario Oficial de la Unión Europea: Reglamento (ce) n 852/2004 del parlamento europeo y del consejo de 29 de abril de 2004, relativo a la higiene de los productos alimenticios. Tech. rep., DOUE 30/04 (2004)

    Google Scholar 

  12. Van Der Aalst, W.: Process mining: discovery, conformance and enhancement of business processes. Springer Science & Business Media (2011)

    Google Scholar 

  13. Van Der Aalst, W., Adriansyah, A., de Medeiros, A.K.A., Arcieri, F., Baier, T., Blickle, T., Bose, J.C., van den Brand, P., Brandtjen, R., Buijs, J., et al.: Process mining manifesto. In: Business process management workshops. pp. 169–194. Springer (2012)

    Google Scholar 

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Correspondence to Mateo Ramos Merino .

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Merino, M.R., Álvarez Sabucedo, L.M., Santos Gago, J.M., Alonso Rorís, V.M. (2016). Extending BPMN Model for Improving Expressiveness and Machine-Understandability. In: Rocha, Á., Correia, A., Adeli, H., Reis, L., Mendonça Teixeira, M. (eds) New Advances in Information Systems and Technologies. Advances in Intelligent Systems and Computing, vol 444. Springer, Cham. https://doi.org/10.1007/978-3-319-31232-3_28

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  • DOI: https://doi.org/10.1007/978-3-319-31232-3_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-31231-6

  • Online ISBN: 978-3-319-31232-3

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