Research on Automatic Government Process Remodeling in E-Government

1 This work is supported by Shanghai’s excellent young teachers scientific research fund and important scientific research fund supported by Shanghai Maritime University. Abstract—Exact government process models can ensure the normal running of electronic government. Unfortunately, traditional modeling approaches have some limitations to meet these demands due to their inherent static properties. Therefore this paper researches an automatic government process remodeling approach. The core of the method is process remodeling algorithm. In the algorithm a markov transition matrix is set up based on process logs in BPMS. And according to the matrix the eight remodeling rules of process logical relations are designed. The remodeling method can not only automatically remodel the various government processes, but also greatly enhance the process modeling efficiency.

[1]  Majed Al-Mashari,et al.  A benchmarking study of experiences with electronic government , 2007 .

[2]  Alexander L. Wolf,et al.  Process discovery and validation through event-data analysis , 1996 .

[3]  Dimitrios Tzovaras,et al.  The need for a digital rights management framework for the next generation of e-government services , 2004, Electron. Gov. an Int. J..

[4]  Wil M. P. van der Aalst,et al.  Workflow mining: discovering process models from event logs , 2004, IEEE Transactions on Knowledge and Data Engineering.

[5]  Dimitris Karagiannis,et al.  Integrating machine learning and workflow management to support acquisition and adaptation of workflow models , 1998, Proceedings Ninth International Workshop on Database and Expert Systems Applications (Cat. No.98EX130).

[6]  Alexander L. Wolf,et al.  Automating Process Discovery through Event-Data Analysis , 1995, 1995 17th International Conference on Software Engineering.

[7]  Dimitrios Gunopulos,et al.  Mining Process Models from Workflow Logs , 1998, EDBT.

[8]  Guido Schimm,et al.  Mining exact models of concurrent workflows , 2004, Comput. Ind..

[9]  Jo Steyaert,et al.  Local Governments Online and the Role of the Resident , 2000 .

[10]  Boudewijn F. van Dongen,et al.  Business process mining: An industrial application , 2007, Inf. Syst..

[11]  Joachim Herbst,et al.  Dealing with Concurrency in Workflow Induction , 2000 .

[12]  Dimitris Karagiannis,et al.  Integrating machine learning and workflow management to support acquisition and adaptation of workflow models , 2000, Intell. Syst. Account. Finance Manag..

[13]  Dimitris Karagiannis,et al.  Integrating machine learning and workflow management to support acquisition and adaptation of workflow models , 2000 .

[14]  van der Wmp Wil Aalst,et al.  Process Mining , 2005, Process-Aware Information Systems.

[15]  Wil M.P. van der Aalst,et al.  Process Mining : Extending the α-algorithm to Mine Short Loops , 2004 .

[16]  Alexander L. Wolf,et al.  Discovering models of software processes from event-based data , 1998, TSEM.

[17]  Guido Schimm.  Process Miner - A Tool for Mining Process Schemes from Event-Based Data , 2002, JELIA.