Skip to main content

Everything You Always Wanted to Know About Your Process, but Did Not Know How to Ask

  • Conference paper
  • First Online:
Business Process Management Workshops (BPM 2016)

Abstract

The size of execution data available for process mining analysis grows several orders of magnitude every couple of years. Extracting and selecting the relevant data to be analyzed on each case represents an open challenge in the field. This paper presents a systematic literature review on different approaches to query process data and establish their provenance. In addition, a new query language is proposed, which overcomes the limitations identified during the review. The proposal is based on a combination of data and process perspectives. It provides simple constructs to intuitively formulate questions. An implementation of the language is provided, together with examples of queries to be applied on different aspects of the process analysis.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    http://www.scopus.com.

  2. 2.

    https://www.win.tue.nl/~egonzale/projects/dapoq-lang/.

  3. 3.

    https://www.win.tue.nl/~egonzale/projects/dapoq-lang/.

  4. 4.

    https://www.win.tue.nl/~egonzale/projects/padas/.

  5. 5.

    http://www.antlr.org/.

  6. 6.

    https://www.win.tue.nl/~egonzale/projects/openslex/.

References

  1. Vanwersch, R., Shahzad, K., Vanhaecht, K., Grefen, P., Pintelon, L., Mendling, J., Van Merode, G., Reijers, H.A.: Methodological support for business process redesign in health care: a literature review protocol. Int. J. Care Pathways 15(4), 119–126 (2011)

    Article  Google Scholar 

  2. Moreau, L., Clifford, B., Freire, J., Futrelle, J., Gil, Y., Groth, P., Kwasnikowska, N., Miles, S., Missier, P., Myers, J., et al.: The open provenance model core specification (v1. 1). Future Gener. Comput. Syst. 27(6), 743–756 (2011)

    Article  Google Scholar 

  3. Huang, X., Bao, Z., Davidson, S.B., Milo, T., Yuan, X.: Answering regular path queries on workflow provenance. In: 2015 IEEE Proceedings of the 31st International Conference on Data Engineering (ICDE), pp. 375–386. IEEE (2015)

    Google Scholar 

  4. Costa, F., Silva, V., De Oliveira, D., Ocaña, K., Ogasawara, E., Dias, J., Mattoso, M.: Capturing and querying workflow runtime provenance with PROV: a practical approach. In: Proceedings of the Joint EDBT/ICDT 2013 Workshops, pp. 282–289. ACM (2013)

    Google Scholar 

  5. Cuevas-Vicenttin, V., Dey, S., Wang, M.L.Y., Song, T., Ludascher, B.: Modeling and querying scientific workflow provenance in the D-OPM. In: High Performance Computing, Networking, Storage and Analysis (SCC), pp. 119–128. IEEE (2012)

    Google Scholar 

  6. Sakka, M.A., Defude, B.: Towards a scalable semantic provenance management system. In: Hameurlain, A., Küng, J., Wagner, R. (eds.) Transactions on Large-Scale Data- and Knowledge-Centered Systems VII. LNCS, vol. 7720, pp. 96–127. Springer, Heidelberg (2012). doi:10.1007/978-3-642-35332-1_4

    Chapter  Google Scholar 

  7. Chirigati, F., Freire, J.: Towards integrating workflow and database provenance. In: Groth, P., Frew, J. (eds.) IPAW 2012. LNCS, vol. 7525, pp. 11–23. Springer, Heidelberg (2012). doi:10.1007/978-3-642-34222-6_2

    Chapter  Google Scholar 

  8. Gadelha, L.M., Wilde, M., Mattoso, M., Foster, I.: MTCProv: a practical provenance query framework for many-task scientific computing. Distrib. Parallel Databases 30(5–6), 351–370 (2012)

    Article  Google Scholar 

  9. Lim, C., Lu, S., Chebotko, A., Fotouhi, F.: OPQL: A first OPM-level query language for scientific workflow provenance. In: 2011 IEEE International Conference on Services Computing (SCC), pp. 136–143. IEEE (2011)

    Google Scholar 

  10. Lim, C., Lu, S., Chebotko, A., Fotouhi, F.: Storing, reasoning, and querying OPM-compliant scientific workflow provenance using relational databases. Future Gener. Comput. Syst. 27(6), 781–789 (2011)

    Article  Google Scholar 

  11. Liu, D.: XQuery meets Datalog: data relevance query for workflow trustworthiness. In: Research Challenges in Information Science (RCIS 2010), pp. 169–174. IEEE (2010)

    Google Scholar 

  12. Bowers, S., McPhillips, T., Ludäscher, B., Cohen, S., Davidson, S.B.: A model for user-oriented data provenance in pipelined scientific workflows. In: Moreau, L., Foster, I. (eds.) IPAW 2006. LNCS, vol. 4145, pp. 133–147. Springer, Heidelberg (2006). doi:10.1007/11890850_15

    Chapter  Google Scholar 

  13. Solanki, M., Brewster, C.: A knowledge driven approach towards the validation of externally acquired traceability datasets in supply chain business processes. In: Janowicz, K., Schlobach, S., Lambrix, P., Hyvönen, E. (eds.) EKAW 2014. LNCS (LNAI), vol. 8876, pp. 503–518. Springer, Cham (2014). doi:10.1007/978-3-319-13704-9_38

    Google Scholar 

  14. Momotko, M., Subieta, K.: Process query language: a way to make workflow processes more flexible. In: Benczúr, A., Demetrovics, J., Gottlob, G. (eds.) ADBIS 2004. LNCS, vol. 3255, pp. 306–321. Springer, Heidelberg (2004). doi:10.1007/978-3-540-30204-9_21

    Chapter  Google Scholar 

  15. Koksal, P., Arpinar, S.N., Dogac, A.: Workflow history management. ACM Sigmod Rec. 27(1), 67–75 (1998)

    Article  Google Scholar 

  16. Poppe, O., Giessl, S., Rundensteiner, E.A., Bry, F.: The HIT model: workflow-aware event stream monitoring. In: Hameurlain, A., Küng, J., Wagner, R., Amann, B., Lamarre, P. (eds.) Transactions on Large-Scale Data- and Knowledge-Centered Systems XI. LNCS, vol. 8290, pp. 26–50. Springer, Heidelberg (2013). doi:10.1007/978-3-642-45269-7_2

    Chapter  Google Scholar 

  17. Liu, D., Pedrinaci, C., Domingue, J.: Semantic enabled complex event language for business process monitoring. In: Proceedings of the 4th International Workshop on Semantic Business Process Management, pp. 31–34. ACM (2009)

    Google Scholar 

  18. Fazzinga, B., Flesca, S., Furfaro, F., Masciari, E., Pontieri, L., Pulice, C.: A framework supporting the analysis of process logs stored in either relational or NoSQL DBMSs. In: Esposito, F., Pivert, O., Hacid, M.-S., Raś, Z.W., Ferilli, S. (eds.) ISMIS 2015. LNCS (LNAI), vol. 9384, pp. 52–58. Springer, Cham (2015). doi:10.1007/978-3-319-25252-0_6

    Chapter  Google Scholar 

  19. Radeschütz, S., Schwarz, H., Niedermann, F.: Business impact analysis: a framework for a comprehensive analysis and optimization of business processes. Comput. Sci. Res. Dev. 30(1), 69–86 (2015)

    Article  Google Scholar 

  20. Backmann, M., Baumgrass, A., Herzberg, N., Meyer, A., Weske, M.: Model-driven event query generation for business process monitoring. In: Lomuscio, A.R., Nepal, S., Patrizi, F., Benatallah, B., Brandić, I. (eds.) ICSOC 2013. LNCS, vol. 8377, pp. 406–418. Springer, Cham (2014). doi:10.1007/978-3-319-06859-6_36

    Chapter  Google Scholar 

  21. Song, L., Wang, J., Wen, L., Wang, W., Tan, S., Kong, H.: Querying process models based on the temporal relations between tasks. In: 2011 15th IEEE International Enterprise Distributed Object Computing Conference Workshops (EDOCW), pp. 213–222. IEEE (2011)

    Google Scholar 

  22. Beheshti, S.-M.-R., Benatallah, B., Motahari-Nezhad, H.R., Sakr, S.: A query language for analyzing business processes execution. In: Rinderle-Ma, S., Toumani, F., Wolf, K. (eds.) BPM 2011. LNCS, vol. 6896, pp. 281–297. Springer, Heidelberg (2011). doi:10.1007/978-3-642-23059-2_22

    Chapter  Google Scholar 

  23. Deutch, D., Milo, T.: Top-K projection queries for probabilistic business processes. In: Proceedings of the 12th International Conference on Database Theory. ACM (2009)

    Google Scholar 

  24. Baquero, A.V., Molloy, O.: Integration of event data from heterogeneous systems to support business process analysis. In: Fred, A., Dietz, J.L.G., Liu, K., Filipe, J. (eds.) IC3K 2012. CCIS, vol. 415, pp. 440–454. Springer, Heidelberg (2013). doi:10.1007/978-3-642-54105-6_29

    Chapter  Google Scholar 

  25. Metzke, T., Rogge-Solti, A., Baumgrass, A., Mendling, J., Weske, M.: Enabling semantic complex event processing in the domain of logistics. In: Lomuscio, A.R., Nepal, S., Patrizi, F., Benatallah, B., Brandić, I. (eds.) ICSOC 2013. LNCS, vol. 8377, pp. 419–431. Springer, Cham (2014). doi:10.1007/978-3-319-06859-6_37

    Chapter  Google Scholar 

  26. Ray, M., Liu, M., Rundensteiner, E., Dougherty, D.J., Gupta, C., Wang, S., Mehta, A., Ari, I.: Optimizing complex sequence pattern extraction using caching. In: 2011 IEEE Proceedings of the 27th International Conference on Data Engineering Workshops (ICDEW), pp. 243–248. IEEE (2011)

    Google Scholar 

  27. Räim, M., Ciccio, C., Maggi, F.M., Mecella, M., Mendling, J.: Log-based understanding of business processes through temporal logic query checking. In: Meersman, R., et al. (eds.) OTM 2014. LNCS, vol. 8841, pp. 75–92. Springer, Heidelberg (2014). doi:10.1007/978-3-662-45563-0_5

    Google Scholar 

  28. 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: Proceedings of the 17th International Conference on Enterprise, Business-Process and Information Systems Modeling, BPMDS (2016)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Eduardo González López de Murillas .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

González López de Murillas, E., Reijers, H.A., van der Aalst, W.M.P. (2017). Everything You Always Wanted to Know About Your Process, but Did Not Know How to Ask. In: Dumas, M., Fantinato, M. (eds) Business Process Management Workshops. BPM 2016. Lecture Notes in Business Information Processing, vol 281. Springer, Cham. https://doi.org/10.1007/978-3-319-58457-7_22

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-58457-7_22

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-58456-0

  • Online ISBN: 978-3-319-58457-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics