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An Architecture for Querying Business Process, Business Process Instances, and Business Data Models

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Business Process Management Workshops (BPM 2017)

Abstract

Business data are usually managed by means of business processes during process instances. These viewpoints (business, instances and data) are strongly related because the life-cycle of business data objects need to be aligned with the business process and process instance models. However, current approaches do not provide a mechanism to integrate these three viewpoints nor to query them all together while maintaining the information in the distributed, heterogeneous systems where they have been created. In this paper, we propose the integration of the business process, business process instance, and business data models by using their metamodels and also an architecture to support this integration. The goal of this integration is to make the most of the three models and the technologies that support them in an isolated way. In our approach, it is not necessary to change the source data formats nor transforming them into a common one. Furthermore, the proposed architecture allows us to query the three models even though they come from three different technologies.

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References

  1. Beeri, C., Eyal, A., Kamenkovich, S., Milo, T.: Querying business processes with BP-QL. Inf. Syst. 33(6), 477–507 (2008)

    Article  Google Scholar 

  2. Beeri, C., Eyal, A., Milo, T., Pilberg, A.: BP-Mon: query-based monitoring of BPEL business processes. SIGMOD Rec. 37(1), 21–24 (2008)

    Article  Google Scholar 

  3. Beheshti, S.-M.-R., Benatallah, B., Motahari-Nezhad, H.R.: Enabling the analysis of cross-cutting aspects in ad-hoc processes. In: Salinesi, C., Norrie, M.C., Pastor, Ó. (eds.) CAiSE 2013. LNCS, vol. 7908, pp. 51–67. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-38709-8_4

    Chapter  Google Scholar 

  4. Beheshti, S.-M.-R., Benatallah, B., Sakr, S., Grigori, D., Motahari-Nezhad, H.R., Barukh, M.C., Gater, A., Ryu, S.H.: Concepts and techniques for querying and analyzing process data. Process Analytics. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-25037-3

    Chapter  Google Scholar 

  5. Choi, I., Kim, K., Jang, M.: An XML-based process repository and process query language for integrated process management. Knowl. Process Manag. 14(4), 303–316 (2007)

    Article  Google Scholar 

  6. González López de Murillas, E., Reijers, H.A., van der Aalst, W.M.P.: Connecting databases with process mining: a meta model and toolset. In: Schmidt, R., Guédria, W., Bider, I., Guerreiro, S. (eds.) BPMDS/EMMSAD-2016. LNBIP, vol. 248, pp. 231–249. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-39429-9_15

    Google Scholar 

  7. González López de Murillas, E., Reijers, H.A., van der Aalst, W.M.P.: Everything you always wanted to know about your process, but did not know how to ask. In: Dumas, M., Fantinato, M. (eds.) BPM 2016. LNBIP, vol. 281, pp. 296–309. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-58457-7_22

    Chapter  Google Scholar 

  8. Fabro, M.D.D., Valduriez, P.: Towards the efficient development of model transformations using model weaving and matching transformations. Softw. Syst. Model. 8(3), 305–324 (2009)

    Article  Google Scholar 

  9. Fischer, K., Panfilenko, D., Krumeich, J., Born, M., Desfray, P.: Viewpoint-based modeling-towards defining the viewpoint concept and implications for supporting modeling tools. In: EMISA, pp. 123–136 (2012)

    Google Scholar 

  10. Di Francescomarino, C., Corcoglioniti, F., Dragoni, M., Bertoli, P., Tiella, R., Ghidini, C., Nori, M., Pistore, M.: Semantic-based process analysis. In: Mika, P., et al. (eds.) ISWC 2014. LNCS, vol. 8797, pp. 228–243. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-11915-1_15

    Google Scholar 

  11. Gómez-López, M.T., Borrego, D., Gasca, R.M.: Data state description for the migration to activity-centric business process model maintaining legacy databases. In: Abramowicz, W., Kokkinaki, A. (eds.) BIS 2014. LNBIP, vol. 176, pp. 86–97. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-06695-0_8

    Chapter  Google Scholar 

  12. Gómez-López, M.T., Pérez-Álvarez, J.M., Varela-Vaca, A.J., Gasca, R.M.: Guiding the creation of choreographed processes with multiple instances based on data models. In: Dumas, M., Fantinato, M. (eds.) BPM 2016. LNBIP, vol. 281, pp. 239–251. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-58457-7_18

    Chapter  Google Scholar 

  13. Grigorova, K., Kamenarov, I.: Object relational business process repository. In: CompSysTech, pp. 72–78 (2012)

    Google Scholar 

  14. O.M. Group. Business Process Model and Notation (BPMN) Version 2.0. OMG Standard (2011)

    Google Scholar 

  15. O. M. Group. Unified Modeling Language Reference Manual, Version 2.5. OMG Standard (2015)

    Google Scholar 

  16. Jin, T., Wang, J., Rosa, M.L., ter Hofstede, A.H.M., Wen, L.: Efficient querying of large process model repositories. Comput. Ind. 64(1), 41–49 (2013)

    Article  Google Scholar 

  17. Ma, Z., Wetzstein, B., Anicic, D., Heymans, S., Leymann, F.: Semantic business process repository. In: SBPM (2007)

    Google Scholar 

  18. Moghadam, N.N., Paik, H.-Y.: BPIM: a multi-view model for business process instances. In: APCCM, pp. 23–32 (2015)

    Google Scholar 

  19. Pérez-Álvarez, J.M., Gómez-López, M.T., Parody, L., Gasca, R.M.: Process instance query language to include process performance indicators in DMN. In: EDOC Workshops 2016, pp. 1–8 (2016)

    Google Scholar 

  20. Polyvyanyy, A., Ouyang, C., Barros, A., van der Aalst, W.M.P.: Process querying: enabling business intelligence through query-based process analytics. Decis. Support Syst. 100, 41–56 (2017)

    Article  Google Scholar 

  21. Reichert, M.: Process and data: two sides of the same coin? In: Meersman, R., et al. (eds.) OTM 2012. LNCS, vol. 7565, pp. 2–19. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-33606-5_2

    Chapter  Google Scholar 

  22. Sakr, S., Awad, A.: A framework for querying graph-based business process models. In: WWW, pp. 1297–1300 (2010)

    Google Scholar 

  23. ter Hofstede, A.H.M., Ouyang, C., La Rosa, M., Song, L., Wang, J., Polyvyanyy, A.: APQL: a process-model query language. In: Song, M., Wynn, M.T., Liu, J. (eds.) AP-BPM 2013. LNBIP, vol. 159, pp. 23–38. Springer, Cham (2013). https://doi.org/10.1007/978-3-319-02922-1_2

    Chapter  Google Scholar 

  24. Weske, M.: Business Process Management: Concepts, Languages, Architectures. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-642-28616-2

    Google Scholar 

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Acknowledgment

This work has been partially funded by the Ministry of Science and Technology of Spain (TIN2015-63502-C3-2-R, TIN2013-40848-R and TIN2016-75394-R) and the European Regional Development Fund (ERDF/FEDER).

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Correspondence to María Teresa Gómez-López .

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Gómez-López, M.T., Reina Quintero, A.M., Parody, L., Pérez Álvarez, J.M., Reichert, M. (2018). An Architecture for Querying Business Process, Business Process Instances, and Business Data Models. In: Teniente, E., Weidlich, M. (eds) Business Process Management Workshops. BPM 2017. Lecture Notes in Business Information Processing, vol 308. Springer, Cham. https://doi.org/10.1007/978-3-319-74030-0_60

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  • DOI: https://doi.org/10.1007/978-3-319-74030-0_60

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  • Online ISBN: 978-3-319-74030-0

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