Abstract
E-government web services are becoming increasingly popular among citizens of various countries. Usually, to receive a service, the user has to perform a sequence of steps. This sequence of steps forms a service rendering process. Using process mining techniques this process can be discovered from the information system’s event logs. A discovered process model of a real user behavior can assist in the analysis of service usability. Thus, for popular and well-designed services this process model will coincide with a reference process model of the expected user behavior. While for other services the observed real behavior and the modeled expected behavior can differ significantly. The main aim of this work is to suggest an approach for the comparison of process models and evaluate its applicability when applied to real-life e-government services.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Gebba, T., Zakaria, M.: E-government in Egypt: An analysis of practices and challenges. Int. J. Bus. Res. Dev. 4(2), 11–25 (2012)
Rorissa, A., Demissie, D.: An analysis of African e-government service websites. Gov. Inf. Quart. 27(2), 161–169 (2010)
Ha, H., Coghill, K.: E-government in Singapore - a SWOT and PEST analysis. Asia Pac. Soc. Sci. Rev. 6(2), 103–130 (2008)
van der Aalst, W.M.P.: Process Mining: Data Science in Action, 2nd edn. Springer, Heidelberg (2016). https://doi.org/10.1007/978-3-662-49851-4
Bergenthum, R., Desel, J., Lorenz, R., Mauser, S.: Process mining based on regions of languages. In: Alonso, G., Dadam, P., Rosemann, M. (eds.) BPM 2007. LNCS, vol. 4714, pp. 375–383. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-75183-0_27
van der Aalst, W.M.P., Weijters, A., Maruster, L.: Workflow mining: discovering process models from event logs. IEEE Trans. Knowl. Data Eng. 16(9), 1128–1142 (2004)
Weijters, A., Ribeiro, J.: Flexible heuristics miner (FHM). In: IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2011), Paris, France, IEEE. pp. 310–317, April 2011
van der Aalst, W.M.P., Rubin, V., Verbeek, H., van Dongen, B., Kindler, E., Günther, C.: Process mining: a two-step approach to balance between underfitting and overfitting. Softw. Syst. Model. 9(1), 87–111 (2010)
Carmona, J., Cortadella, J.: Process mining meets abstract interpretation. In: Balcázar, J.L., Bonchi, F., Gionis, A., Sebag, M. (eds.) ECML PKDD 2010. LNCS (LNAI), vol. 6321, pp. 184–199. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-15880-3_18
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). https://doi.org/10.1007/978-3-540-75183-0_24
Leemans, S.J.J., Fahland, D., van der Aalst, W.M.P.: Discovering block-structured process models from incomplete event logs. In: Ciardo, G., Kindler, E. (eds.) PETRI NETS 2014. LNCS, vol. 8489, pp. 91–110. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-07734-5_6
OMG: Business Process Model and Notation (BPMN). Object Management Group, formal/2013-12-09 (2013)
Kalenkova, A., de Leoni, M., van der Aalst, W.M.P.: Discovering, analyzing and enhancing BPMN models using ProM. In: Proceedings of the BPM Demo Sessions 2014 Co-located with the 12th International Conference on Business Process Management, p. 36 (2014)
Kalenkova, A., van der Aalst, W.M.P., Lomazova, I., Rubin, V.: Process mining using BPMN: relating event logs and process models. Softw. Syst. Model. 16(4), 1019–1048 (2017)
Adriansyah, A., van Dongen, B., van der Aalst, W.M.P.: Conformance checking using cost-based fitness analysis. In: Proceedings of the 2011 IEEE 15th International Enterprise Distributed Object Computing Conference, EDOC 2011, Washington, DC, USA, pp. 55–64. IEEE Computer Society (2011)
Adriansyah, A., van Dongen, B.F., van der Aalst, W.M.P.: Towards robust conformance checking. In: zur Muehlen, M., Su, J. (eds.) BPM 2010. LNBIP, vol. 66, pp. 122–133. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-20511-8_11
Sanfeliu, A., Fu, K.: A distance measure between attributed relational graphs for pattern recognition. IEEE Trans. Syst. Man Cybern. SMC 13(3), 353–362 (1983)
Ivanov, S., Kalenkova, A., van der Aalst, W.M.P.: BPMNDiffViz: a tool for BPMN models comparison. In: Proceedings of the BPM Demo Session 2015 Co-located with the 13th International Conference on Business Process Management. pp. 35–39 (2015)
Muehlen, M., Recker, J.: How much language is enough? Theoretical and practical use of the business process modeling notation. In: Bellahsène, Z., Léonard, M. (eds.) CAiSE 2008. LNCS, vol. 5074, pp. 465–479. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-69534-9_35
Zeng, Z., Tung, A., Wang, J., Feng, J., Zhou, L.: Comparing stars: on approximating graph edit distance. Proc. VLDB Endow. 2(1), 25–36 (2009)
Levenshtein, V.: Binary codes capable of correcting deletions, insertions and reversals. Sov. Phys. Dokl. 10, 707 (1966)
Hart, P., Nilsson, N., Raphael, B.: A formal basis for the heuristic determination of minimum cost paths. IEEE Trans. Syst. Sci. Cybern. SSC 4(2), 100–107 (1968)
Acknowledgments
This work was supported by the Basic Research Program at the National Research University Higher School of Economics and funded by RFBR and Moscow city Government according to the Research project No 15-37-70008 “mol_a_mos”.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Kalenkova, A.A., Ageev, A.A., Lomazova, I.A., van der Aalst, W.M.P. (2018). E-Government Services: Comparing Real and Expected User Behavior. 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_38
Download citation
DOI: https://doi.org/10.1007/978-3-319-74030-0_38
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-74029-4
Online ISBN: 978-3-319-74030-0
eBook Packages: Computer ScienceComputer Science (R0)