Towards case-based adaptation of workflows

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6176 LNAI, Issue , 2010, Pages 421-435

  Minor, Mirjam ^a   Bergmann, Ralph ^a   Görg, Sebastian ^a   Walter, Kirstin ^a  

^a UNIVERSITY OF TRIER   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC ADAPTATION; CASE BASE; EMPIRICAL EVALUATIONS; NEW APPROACHES; NOVEL METHODS; WORK-FLOWS; WORKFLOW MODELING;

MANAGEMENT;

CASE BASED REASONING;

EID: 77954984556     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-14274-1_31     Document Type: Conference Paper

References (22)

1. Workflow management coalition glossary & terminology, http://www.wfmc.org
2. Weber, B., Wild, W.: Towards the agile management of business processes. In: Althoff, K.-D., Dengel, A.R., Bergmann, R., Nick, M., Roth-Berghofer, T.R. (eds.) WM 2005. LNCS (LNAI), vol. 3782, pp. 409-419. Springer, Heidelberg (2005)
3. Minor, M., Tartakovski, A., Schmalen, D., Bergmann, R.: Agile Workflow Technology and Case-Based Change Reuse for Long-Term Processes. International Journal on Intelligent Information Technologies 4(1), 80-98 (2008)
4. Weber, B., Wild, W., Breu, R.: Cbrflow: Enabling adaptive workflow management through conversational case-based reasoning. In: Funk, P., González Calero, P.A. (eds.) ECCBR 2004. LNCS (LNAI), vol. 3155, pp. 434-448. Springer, Heidelberg (2004)
5. Madhusudan, T., Zhao, J.L., Marshall, B.: A case-based reasoning framework for workflow model management. Data and Knowledge Engineering 50, 87-115 (2004)
6. Minor, M., Tartakovski, A., Bergmann, R.: Representation and Structure-Based Similarity Assessment for Agile Workflows. In: Weber, R.O., Richter, M.M. (eds.) ICCBR 2007. LNCS (LNAI), vol. 4626, pp. 224-238. Springer, Heidelberg (2007)
7. Gil, Y., Kim, J., Florenz, G., Ratnakar, V., Gonzalez-Calero, P.: Workflow Matching Using Semantic Metadata. In: Proc. of the 5th Int. Conf. on Knowledge Capture (K-CAP), pp. 121-128. ACM, New York (2009)
8. Leake, D.B., Kendall-Morwick, J.: Towards Case-Based Support for e-Science Workflow Generation by Mining Provenance. In: Althoff, K.-D., Bergmann, R., Minor, M., Hanft, A. (eds.) ECCBR 2008. LNCS (LNAI), vol. 5239, pp. 269-283. Springer, Heidelberg (2008)
9. Bergmann, R., Freßmann, A., Maximini, K., Maximini, R., Sauer, T.: Case-based support for collaborative business. In: Roth-Berghofer, T.R., Göker, M.H., Güvenir, H.A. (eds.) ECCBR 2006. LNCS (LNAI), vol. 4106, pp. 519-533. Springer, Heidelberg (2006)
10. Montani, S.: Prototype-based management of business process exception cases. Applied Intelligence, Springer Science + Business Media, LLC 2009 (2009) (Published online)
11. Cox, M.T., Muñoz-Avila, H., Bergmann, R.: Case-based planning. The Knowledge Engineering Review 20(3), 283-287 (2005)
12. Muñoz-Avila, H., Cox, M.T.: Case-based plan adaptation: An analysis and review. Intelligent Systems 23(4), 75-81 (2008)
13. Xu, K., Munoz-Avila, H.: CaBMA: Case-Based Project Management Assistant. In: Proceedings of The Sixteenth Innovative Applications of Artificial Intelligence Conference (IAAI 2004), pp. 931-936. AAAI Press, Menlo Park (2004)
14. Lopez Mantaras, R., McSherry, D., Bridge, D., Leake, D., Smyth, B., Craw, S., Faltings, B., Maher, M.L., Cox, M.T., Forbus, K., Keane, M., Aamodt, A., Watson, I.: Retrieval, reuse, revision and retention in case-based reasoning. The Knowledge Engineering Review 20(03), 215-240 (2005)
15. Wilke, W., Vollrath, I., Bergmann, R.: Using knowledge containers to model a framework for learning adaptation knowledge. In: European Conference on Machine Learning (MLNet) Workshop Notes - Case-Based Learning: Beyond Classification of Feature Vectors (1997) (published online)
16. Hanney, K., Keane, M.: The adaptation knowledge bottleneck: How to ease it by learning from cases. In: Leake, D.B., Plaza, E. (eds.) ICCBR 1997. LNCS (LNAI), vol. 1266, pp. 179-192. Springer, Heidelberg (1997)
17. Craw, S., Wiratunga, N., Rowe, R.C.: Learning adaptation knowledge to improve case-based reasoning. Artificial Intelligence 170(16-17), 1175-1192 (2006)
18. Badra, F., Cordier, A., Lieber, J.: Opportunistic adaptation knowledge discovery. In: McGinty, L., Wilson, D.C. (eds.) ICCBR 2009. LNCS, vol. 5650, pp. 60-74. Springer, Heidelberg (2009)
19. McSherry, D.: Demand-driven discovery of adaptation knowledge. In: IJCAI 1999, pp. 222-227. Morgan Kaufmann, San Francisco (1999)
20. Aamodt, A., Plaza, E.: Case-based reasoning: Foundational issues, methodological variations, and system approaches. AI Communications 7(1), 39-59 (1994)
21. Minor, M., Schmalen, D., Weidlich, J., Koldehoff, A.: Introspection into an agile workflow engine for long-term processes. In: WETICE 2008. IEEE, Los Alamitos (2008)
22. Minor, M., Schmalen, D., Kempin, S.: Demonstration of the Agile Workflow Management System Cake II Based on Long-Term Office Workflows. In: CEUR Proceedings of the BPM 2009 Demonstration Track, vol. 489 (2009) (published online)