Similarity assessment and efficient retrieval of semantic workflows

Information Systems

Volumn 40, Issue , 2014, Pages 115-127

  Bergmann, Ralph ^a   Gil, Yolanda ^b  

^a UNIVERSITY OF TRIER   (Germany)

^b UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

Business workflows; Case based reasoning; Retrieval; Scientific workflows; Workflow similarity

Indexed keywords

BUSINESS WORKFLOWS; EXPERIMENTAL EVALUATION; RETRIEVAL; RETRIEVAL ALGORITHMS; SCIENTIFIC WORKFLOWS; SIMILARITY ASSESSMENT; SIMILARITY COMPUTATION; WORKFLOW SIMILARITY;

HARDWARE; INFORMATION SYSTEMS;

ALGORITHMS;

EID: 84890122109     PISSN: 03064379     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.is.2012.07.005     Document Type: Article

References (46)

1. A. Aamodt, and E. Plaza Case-based reasoning foundational issues methodological variations and system approaches AI Commun. 7 1994 39 59
2. A. Ankolekar, M. Burstein, J.R. Hobbs, O. Lassila, D.L. Martin, D. McDermott, S.A. McIlraith, S. Narayanan, M. Paolucci, T.R. Payne, K. Sycara, DAML-S: web service description for the semantic web, in: The Semantic Web - ISWC 2002, 2002, pp. 348-363.
3. A. Awad, BPMN-Q: a language to query business processes, in: M. Reichert, S. Strecker, K. Turowski (Eds.), Enterprise Modelling and Information Systems Architectures - Concepts and Applications, Proceedings of the 2nd International Workshop on Enterprise Modelling and Information Systems Architectures (EMISA'07), St. Goar, Germany, October 8-9, 2007, GI, pp. 115-128.
4. J. Becker, P. Bergener, D. Breuker, M. Räckers, On measures of behavioral distance between business processes, in: Proceedings of the 10th International Conference on Wirtschaftsinformatik, 2011, pp. 665-674.
5. C. Beeri, A. Eyal, S. Kamenkovich, T. Milo, Querying business processes, in: Proceedings of the 32nd International Conference on Very Large Data Bases, VLDB Endowment, 2006, pp. 343-354.
6. R. Bergmann, Experience management - foundations, development methodology, and internet-based applications, in: Lecture Notes in Artificial Intelligence, vol. 2432, Springer, 2002.
7. R. Bergmann, K. Althoff, S. Breen, M. Göker, M. Manago, R. Traphöner, S. Wess, Developing industrial case-based reasoning applications: the INRECA methodology, in: Lecture Notes in Artificial Intelligence, vol. 1612, 2nd edition, Springer, 2003.
8. R. Bergmann, K. Althoff, M. Minor, M. Reichle, and K. Bach Case-based reasoning - introduction and recent developments Künstliche Intelligenz 1/2009 2009 5 11
9. R. Bergmann, A. Freßmann, K. Maximini, R. Maximini, and T. Sauer Case-based support for collaborative business T.R. Roth-Berghofer, M.H. Göker, A.H. Güvenir, Advances in CBR 2006 Springer 519 533 (Pubitemid 44743959)
10. R. Bergmann, M.M. Richter, S. Schmitt, A. Stahl, I. Vollrath, Utility-oriented matching: a new research direction for case-based reasoning, in: S. Schmitt, I. Vollrath, U. Reimer (Eds.), 9th German Workshop on Case-Based Reasoning, 2001, pp. 264-274.
11. R. Bergmann, and A. Stahl Similarity measures for object-oriented case representations B. Smyth, P. Cunningham, Advances in CBR 1998 Springer 25 37
12. R. Bergmann, m. Minor, S. Islam, P. Schumacher, A. Stromer, Scaling similarity-based retrieval of semantic workflows, in: L. Lamontagne, J.A. Recio-Garcia (Eds.), ICCBR-Workshop on Process-oriented Case-Based Reasoning, Lyon, 2012, pp. 15-24.
13. H.D. Burkhard, M.M. Richter, On the notion of similarity in case based reasoning and fuzzy theory, in: Soft Computing in Case Based Reasoning, Springer, 2000.
14. P.A. Champin, C. Solnon, Measuring the similarity of labeled graphs, in: Case-Based Reasoning Research and Development, Springer, 2003, pp. 1066-1067.
15. W. Cheng, M. Rademaker, B.D. Baets, E. Hüllermeier, Predicting partial orders: ranking with abstention, in: Machine Learning and Knowledge Discovery in Databases, 2010, pp. 215-230.
16. E. Chinthaka, J. Ekanayake, D. Leake, B. Plale, CBR based workflow composition assistant, in: World Conference on Services-I, 2009, pp. 352-355.
17. W.M. van Der Aalst, A.H. Ter Hofstede, B. Kiepuszewski, and A.P. Barros Workflow patterns Distributed Parallel Databases 14 2003 5 51
18. R. Dijkman, M. Dumas, L. Garcia-Banuelos, Graph matching algorithms for business process model similarity search, in: Business Process Management, 2009, pp. 48-63.
19. A. Freßmann Adaptive workflow support for search processes within fire service organisations S.M. Reddy, Proceedings of the Fifteenth IEEE International Workshop on Enabling Technologies 2006 IEEE Computer Society 291 296
20. Y. Gil, J. Kim, G. Florez, V. Ratnakar, P.A. González-Calero, Workflow matching using semantic metadata, in: Proceedings of the 5th International Conference on Knowledge Capture, 2009, pp. 121-128.
21. Y. Gil, V. Ratnakar, J. Kim, P. González-Calero, P. Groth, J. Moody, and E. Deelman Wings intelligent workflow-based design of computational experiments IEEE Intell. Syst. 26 2011 62 72
22. A. Goderis, Workflow Re-use and Discovery in Bioinformatics, Ph.D. Thesis, University of Manchester, 2008.
23. A. Goderis, P. Li, C. Goble, Workflow discovery: the problem, a case study from e-science and a graph-based solution, Int. J. Web Serv. Res. 5 (2008).
24. P. Hung, D. Chiu, 2004. Developing workflow-based information integration (WII) with exception support in a web services environment, in: Proceedings of the 37th Annual Hawaii International Conference on System Sciences, 2004, 10 pp.
25. S. Kapetanakis, M. Petridis, B. Knight, J. Ma, L. Bacon, A case based reasoning approach for the monitoring of business workflows, in: I. Bichindaritz, S. Montani (Eds.), Case-Based Reasoning. Research and Development, ICCBR 2010, Springer, 2010, pp. 390-405.
26. S. Kapetanakis, M. Petridis, J. Ma, Brian, Knight, Liz, Bacon, Enhancing similarity measures and context provision for the intelligent monitoring of business processes in CBR-WIMS, in: Proceedings of the ICCBR 2011 Workshops, 2011, pp. 87-99.
27. J. Kendall-Morwick, D. Leake, A toolkit for representation and retrieval of structured cases, in: Proceedings of the ICCBR 2011 Workshops, 2011, pp. 111-120.
28. J. Kendall-Morwick, D. Leake, On tuning two-phase retrieval for structured cases, in: L. Lamontagne, J.A. Recio-Garcia (Eds.), ICCBR-Workshop on Process-oriented Case-Based Reasoning, Lyon, 2012, pp. 25-34.
29. P. Lawrence (Ed.), Workflow Handbook 1997, John Wiley & Sons, Inc;, New York, NY, USA, 1997.
30. D.B. Leake, J. Kendall-Morwick, Towards Case-Based support for e-Science workflow generation by mining provenance, in: K.D. Althoff, R. Bergmann, M. Minor, A. Hanft (Eds.), Advances in CBR, 2008, pp. 269-283.
31. R. Lopez De Mantaras, D. McSherry, D. Bridge, D. Leake, B. Smyth, S. Craw, B. Faltings, M.L. Maher, M.T. Cox, K. Forbus, M. Keane, A. Aamodt, and I. Watson Retrieval, reuse, revision and retention in case-based reasoning Knowl. Eng. Rev. 20 2005 215 240
32. B. Ludäscher, M. Weske, T. Mcphillips, S. Bowers, Scientific workflows: Business as usual? in: Proceedings of the 7th International Conference on Business Process Management, Springer-Verlag, Berlin, Heidelberg, 2009, pp. 31-47.
33. K.M. Lyng, T. Hildebrandt, and R.R. Mukkamala From paper based clinical practice guidelines to declarative workflow management D. Ardagna, M. Mecella, J. Yang, Business Process Management Workshops vol. 17 2009 Springer Berlin, Heidelberg 336 347
34. T. Madhusudan, J.L. Zhao, and B. Marshall A case-based reasoning framework for workflow model management Data Knowl. Eng. 50 2004 87 115
35. K. Maximini, M. Schaaf, The PROGEMM approach for managing clinical processes, in: G. Kotsis, S. Reddy (Eds.), 1st Workshop on Knowledge Management for Distributed Agile Processes: Models, Techniques, and Infrastructure (KMDAP'03) for the Twelfth IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE'03), IEEE, 2003, pp. 332-337.
36. M. Minor, R. Bergmann, S. Görg, K. Walter, Adaptation of cooking instructions following the workflow paradigm, in: C. Marling (Ed.), ICCBR 2010 Workshop Proceedings, 2010.
37. M. Minor, R. Bergmann, S. Görg, and K. Walter Towards case-based adaptation of workflows I. Bichindaritz, S. Montani, CBR Research and Development 2010 Springer 421 435
38. M. Minor, A. Tartakovski, R. Bergmann, Representation and structure-based similarity assessment for agile workflows, in: R. Weber, M.M. Richter (Eds.), CBR Research and Development, 2007, pp. 224-238.
39. S. Montani, G. Leonardi, Retrieval and clustering for business process monitoring: results and improvements, in: B. Agudo, I. Watson (Eds.), Case-Based Reasoning Research and Development, Lecture Notes in Computer Science, vol. 7466, Springer, Berlin, Heidelberg, 2012, pp. 269-283.
40. S. Montani, G. Leonardi, M. Lo Vetere, Case retrieval and clustering for business process monitoring, in: Proceedings of the ICCBR 2011 Workshops, 2011, pp. 77-86.
41. M.M. Richter, Foundations of similarity and utility, in: Proceedings of the 20th International Florida Artificial Intelligence Research Society Conference (FLAIRS 2007), AAAI Press, 2007.
42. D. Roman, U. Keller, H. Lausen, J. De Bruijn, R. Lara, M. Stollberg, A. Polleres, C. Feier, C. Bussler, and D. Fensel Web service modeling ontology Appl. Ontology 1 2005 77 106
43. S. Russell, and P. Norvig Artificial Intelligence A Modern Approach 2010 Prentice Hall
44. I.J. Taylor, E. Deelman, and D.B. Gannon Workflows for e-Science 2007 Springer
45. B. Weber, W. Wild, and R. Breu CBRFlow enabling adaptive workflow management through conversational Case-Based reasoning P. Funk, P.A. González-Calero, Advances in CBR 2004 Springer 434 448
46. I. Witten, E. Frank, L. Trigg, M. Hall, G. Holmes, S. Cunningham, Weka: practical machine learning tools and techniques with java implementations, in: Proceedings of the ICONIP/ANZIIS/ANNES'99 Workshop Future Directions for Intelligent Systems and Information Sciences, 1999.