An integrated life cycle for workflow management based on learning and planning

International Journal of Cooperative Information Systems

Volumn 15, Issue 4, 2006, Pages 485-505

  Ferreira, Hugo M ^a,b   Ferreira, Diogo R ^a,b  

^a UNIVERSITY OF PORTO   (Portugal)

^b INSTITUTO SUPERIOR TÉCNICO   (Portugal)

Author keywords

BPM; Inductive Logic Programming (ILP); Learning; Planning; Workflow

Indexed keywords

EID: 33750149405     PISSN: 02188430     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218843006001463     Document Type: Article

References (33)

1. D. Hollingsworth, The workflow reference model, Document Number TC00-1003, WfMC, 1995.
2. M. Voorhoeve and W. Van der Aalst, Ad hoc workflow: Problems and solutions, 8th Int. Workshop on Database and Expert Systems Applications (DEXA '97), Toulouse, France, September 01-02, 1997.
3. C. Hagen and G. Alonso, Exception handling in workflow management systems, IEEE Trans. Software Engineering 26(10) (October 2000).
4. W. Sadiq, O. Marjanovic and M. E. Orlowska, Managing change and time in dynamic workflow processes, Int. J. Coop. Information Systems 9(1-2) (2000) 93-116.
5. P. Heinl, S. Horn, S. Jablonski, J. Neeb, K. Stein and M. Teschke, A comprehensive approach to flexibility in workflow management systems. Technical report TR-16-1998-6, University of Erlangen-Nuremberg, Erlangen, Germany, 1998.
6. H. Garfinkel, Studies in Ethnomethodology (Prentice-Hall, Englewood Cliffs, NY, 1967).
7. D. Stenmark, Leveraging tacit organisational knowledge, J. Management Information Systems 17(3) (Winter 2000-2001) 9-24.
8. T. Hodel-Widmer and K. Dittrich, Concept and prototype of a collaborative business process environment for document processing, Data & Knowledge Engineering 52(1) (2005) 61-120.
9. S. Dustdar, Caramba -A process-aware collaboration system supporting ad hoc and collaborative processes in virtual teams, Distributed and Parallel Databases 15(1) (2004) 45-66.
10. P. Chung, L. Cheung, J. Stader, P. Jarvis, J. Moore and A. Macintosh, Knowledge-based process management - An approach to handling adaptive workflow, Knowledge-Based Systems 16 (2003) 149-160.
11. N. Lavrac and S. Dzeroski, Inductive Logic Programming: Techniques and Applications (Ellis Harwood, New York, 1994).
12. J. Penberthy and D. Weld, UCPOP: A sound, complete, partial order planner for ADL, in Proc. Third Int. Conf. Knowledge Representation and Reasoning (Morgan Kaufmann, 1992).
13. M. Ghallab, D. Nau and P. Traverso, Automated Planning: Theory and Practice (Morgan Kaufmann Publishers, 2004).
14. B. Drabble, J. Dalton and A. Tate, Repairing plans on the fly, Working Notes of the First International Workshop on Planning and Scheduling for Space, Oxnard, CA, 1997.
15. X. Nguyen and S. Kambhampati, Reviving partial order planning, in Proc. Seventeenth Int. Joint Conf. Artificial Intelligence (IJCAI 2001), pp. 2001.
16. P. O'Neill and A. Sohal, Business process reengineering: A review of recent literature, Technovation 19(9) (1999) 571-581.
17. H. Ferreira and D. Ferreira, Towards an integrated life-cycle for business process management based on learning and planning, Technical Report, INESC Porto, November 2004.
18. A. Garland and N. Lesh, Plan evaluation with incomplete action descriptions, in Proc. Eighteenth National Conf. Artificial Intelligence, Edmonton, Alberta, Canada, 2002.
19. D. Smith and M. Peot, Suspending recursion in causal link planning, in Proc. 3rd Int. Conf. Artificial Intelligence Planning Systems (AAAI Press, 1996), pp. 182-190.
20. C. Beckstein and J. Klausner, A meta level architecture for workflow management, Transactions of the SDPS 3(1) (March 1999) 15-26.
21. M. Moreno, P. Kearney and D. Meziat, A case study: Using workflow and Al planners, 19th Workshop of the UK Planning and Scheduling (PLANSIG2000) (Milton Keynes, U.K., 2000).
22. T. Madhusudan, J. Zhao and B. Marshall, A case-based reasoning framework for workflow model management, Data & Knowledge Engineering 50(1) (2004) 87-115.
23. J. Herbst and D. Karagiannis, Workflow mining with InWoLvE, Computers in Industry 53(3) (2004) 245-264.
24. W. van der Aalst, B. van Dongen, J. Herbst, L. Maruster, G. Schimm and A. Weijters, Workflow mining: A survey of issues and approaches, Data & Knowledge Engineering 47(2) (2003) 237-267.
25. P. Jarvis, J. Moore, J. Stader, A. Macintosh, A. Casson-du-Mont and P. Chung, Exploiting Al technologies to realise adaptive workflow systems, Agent-Based Systems in the Business Context: Papers from the AAAI Workshop, Technical Report WS-99-02 (AAAI Press, 1999).
26. D. McAllester and D. Rosenblitt, Systematic nonlinear planning, Proc. Ninth National Conf. Artificial Intelligence (AAAI-91) (AAAI Press, 1991).
27. C. Leckie and I. Zukerman, Inductive learning of search control rules for planning, Artificial Intelligence 101(1-2) (1998) 63-98.
28. R. Khardon, Learning action strategies for planning domains, Artificial Intelligence 113(1-2) (1999) 125-148.
29. S. Dustdar, T. Hoffmann and W. van der Aalst, Mining of ad hoc business processes with teamlog, Data & Knowledge Engineering 55(2) (2005) 129-158.
30. O. Etzioni, S. Hanks, D. Weld, D. Draper, N. Lesh and M. Williamson, An approach to planning with incomplete information, in Proc. 3rd Int. Conf. on Principles of Knowledge Representation and Reasoning (October 1992).
31. W. van der Aalst, A. ter Hofstede, B. Kiepuszewski and A. P. Barros, Workflow patterns, Distributed and Parallel Databases 14(1) (2003) 5-51.
32. G. Ferguson, J. Allen and B. Miller, TRAINS-95: Towards a mixed-initiative planning assistant, in Proc. Third Int. Conf. AI Planning Systems (AAAI Press, 1996).
33. B. Dellen, F. Maurer and G. Pews, Knowledge-based techniques to increase the flexibility of workflow management, Data & Knowledge Engineering 23(3) (1997) 269-295.