From fine-grained to abstract process models: A semantic approach

Information Systems

Volumn 37, Issue 8, 2012, Pages 784-797

  Smirnov, Sergey ^a   Reijers, Hajo A ^b   Weske, Mathias ^a  

^a UNIVERSITY OF POTSDAM   (Germany)

^b EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Business process model abstraction; Business process modeling; Process model management

Indexed keywords

SEMANTICS; SYSTEMS ENGINEERING;

BUSINESS PROCESS MODEL; EFFICIENT MANAGEMENTS; EXPERIMENTAL VALIDATIONS; INDUSTRIAL PROCESSS; PROCESS MODEL ABSTRACTIONS; PROCESS MODEL MANAGEMENTS; SEMANTIC INFORMATION; STRUCTURAL CHARACTERISTICS;

ABSTRACTING;

EID: 84864648143     PISSN: 03064379     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.is.2012.05.007     Document Type: Conference Paper

References (57)

1. W. M. P. van der Aalst, T. Basten, Life-cycle inheritance: a petri-netbased approach, in: ICATPN 1997, Lecture Notes in Computer Science, vol. 1248, Springer, 1997, pp. 62-81.
2. A. V. Aho, J. D. Ullman, The Theory of Parsing, Translation, and Compiling, Prentice-Hall, Inc., Upper Saddle River, NJ, USA, 1972.
3. R. A. Baeza-Yates, B. A. Ribeiro-Neto, Modern Information Retrieval, ACM Press/Addison-Wesley, 1999.
4. F. Barbier, B. Henderson-Sellers, A. Le Parc-Lacayrelle, J.-M. Bruel, Formalization of the whole-part relationship in the unified modeling language, IEEE Transactions on Software Engineering 29 (5) (2003) 459-470.
5. J. Becker, M. Kugeler, M. Rosemann, Process Management: A Guide for the Design of Business Processes, Springer, Berlin, Germany, 2003.
6. J. Becker, D. Kuropka, Topic-based vector space model, in: BIS 2003, GI, 2003, pp. 7-12.
7. G. Berthelot, Transformations and decompositions of nets, in: Advances in Petri nets 1986, Springer, 1987, pp. 359-376.
8. R. Bobrik, M. Reichert, T. Bauer, View-based process visualization, in: BPM 2007, Lecture Notes in Computer Science, vol. 4714, Springer, 2007, pp. 88-95.
9. F. Casati, M.-Ch. Shan, Semantic analysis of business process executions, in: EDBT 2002, Springer, 2002, pp. 287-296.
10. C. Di Francescomarino, A. Marchetto, P. Tonella, Cluster-based modularization of processes recovered from web applications, Journal of Software Maintenance and Evolution: Research and Practice, John Wiley & Sons (2010).
11. R. M. Dijkman, M. Dumas, L. García-Bañuelos, Graph matching algorithms for business process model similarity search, in: BPM 2009, Lecture Notes in Computer Science, vol. 5701, Springer, 2009, pp. 48-63.
12. R. M. Dijkman, M. M. Dumas, B. F. van Dongen, R. Käärik, J. Mendling, Similarity of business process models: metrics and evaluation, Information Systems 36 (2) (2011) 498-516.
13. M. Dumas, L. García-Bañuelos, R. M. Dijkman, Similarity Search of Business Process Models, IEEE Data Engineering Bulletin 32 (3) (2009) 23-28.
14. R. Eshuis, P. Grefen, Constructing customized process views, Data & Knowledge Engineering 64 (2) (2008) 419-438. (Pubitemid 350297496)
15. A. N. Franzblau, A Primer of Statistics for Non-Statisticians, Harcourt, Brace & World, New York, 1958.
16. D. Georgakopoulos, M. Hornick, A. Sheth, An overview of workflow management: from process modeling to workflow automation infrastructure, Distributed and Parallel Databases 3 (April) (1995) 119-153.
17. B. B. Gerstman, StatPrimer-Version 6.4, Technical Report, San Jose State University, 2010, .
18. BOC Group, ADONIS Process Portal, Technical Report, BOC Group, accessed on 30 January 2012, .
19. G. Guizzardi, Modal aspects of object types and part-whole relations and the de re/de dicto distinction, in: CAiSE 2007, Lecture Notes in Computer Science, vol. 4495, Springer, 2007, pp. 5-20.
20. C. W. Günther, W. M. P. van der Aalst, Mining Activity Clusters from Low-Level Event Logs, BETA Working Paper Series, WP 165, 2006.
21. C. W. Günther, W. M. P. van der Aalst, Fuzzy mining-adaptive process simplification based on multi-perspective metrics, in: BPM 2007, Lecture Notes in Computer Science, vol. 4714, Springer, 2007, pp. 328-343.
22. A. Hallerbach, T. Bauer, M. Reichert, Capturing variability in business process models: the provop approach, Software Process: Improvement and Practice (2009).
23. M. Hammer, J. Champy, Reengineering the Corporation: A Manifesto for Business Revolution, Harper Business, April 1994.
24. J. Hartigan, Clustering Algorithms, John Wiley and Sons, New York, USA, 1975.
25. B. Henderson-Sellers, C. Gonzalez-Perez, Granularity in conceptual modelling: application to metamodels, in: ER 2010, Lecture Notes in Computer Science, vol. 6412, Springer, 2010, pp. 219-232.
26. M. Hepp, F. Leymann, J. Domingue, A. Wahler, D. Fensel, Semantic business process management: a vision towards using semantic web services for business process management, in: ICEBE, IEEE Computer Society, 2005, pp. 535-540. (Pubitemid 44910368)
27. M. Indulska, J. Recker, M. Rosemann, P. Green, Business process modeling: current issues and future challenges, in: CAiSE 2009, Lecture Notes in Computer Science, vol. 5565, Springer, 2009, pp. 501-514.
28. T. Jin, J. Wang, N. Wu, M. La Rosa, A. H. M. ter Hofstede, Efficient and accurate retrieval of business process models through indexing, in: OTM 2010, Lecture Notes in Computer Science, vol. 6426, Springer, 2010, pp. 402-409.
29. G. Keller, M. Nüttgens, A. Scheer, Semantische Prozessmodellierung auf der Grundlage "Ereignisgesteuerter Prozessketten (EPK) ", Technical Report Heft 89, Veröffentlichungen des Instituts für Wirtschaftsinformatik University of Saarland, 1992.
30. G. Keller, T. Teufel, SAP R/3 Process Oriented Implementation, Addison-Wesley Longman Publishing Co., Inc., Boston, MA, USA, 1998.
31. Th. Kühne, Matters of meta-modeling, Software and Systems Modeling 5 (4) (2006) 369-385.
32. Th. Kühne, Contrasting classification with generalisation, in: APCCM 2009, CRPIT, vol. 96, January 2009.
33. M. Kunze, M. Weidlich, M. Weske, Behavioral similarity-a proper metric, in: BPM 2011, Lecture Notes in Computer Science, vol. 6896, Springer, 2011, pp. 166-181.
34. D. Kuropka, Modelle zur Repräsentation natürlichsprachlicher Dokumente-Information-Filtering und-Retrieval mit relationalen Datenbanken, Logos Verlag, Berlin, Germany, 2004.
35. M. La Rosa, Managing Variability in Process-Aware Information Systems, Ph. D. Thesis, Queensland University of Technology, Brisbane, Australia, 2009.
36. F. Leymann, D. Roller, Production Workflow-Concepts and Techniques, Prentice Hall, 2000.
37. A. K. Alves De Medeiros, W. M. P. van der Aalst, C. Pedrinaci, Semantic process mining tools: core building blocks, in: ECIS 2008, Galway, Ireland, 2008, pp. 1953-1964.
38. J. Mendling, H. Verbeek, B. van Dongen, W. M. P. van der Aalst, G. Neumann, Detection and prediction of errors in EPCs of the SAP reference model, Data & Knowledge Engineering 64 (1) (2008) 312-329. (Pubitemid 350087292)
39. OMG, OMG Unified Modeling Language (OMG UML) 2.3, May 2010.
40. OMG, Business Process Model Notation, 2.0 edition, January 2011.
41. A. Polyvyanyy, S. Smirnov, M. Weske, The triconnected abstraction of process models, in: BPM 2009, Lecture Notes in Computer Science, vol. 5701, Springer, 2009, pp. 229-244.
42. H. A. Reijers, J. Mendling, Modularity in process models: review and effects, in: BPM 2008, Springer, 2008, pp. 20-35.
43. M. Rosemann, Potential pitfalls of process modeling: part A, Business Process Management Journal 12 (2) (2006) 249-3254.
44. M. Rosemann, W. M. P. van der Aalst, A configurable reference modelling language, Information Systems 32 (1) (2007) 1-23. (Pubitemid 44537594)
45. W. Sadiq, M. E. Orlowska, Analyzing process models using graph reduction techniques, Information Systems 25 (2) (2000) 117-134.
46. G. Salton, A. Wong, C. S. Yang, A vector space model for automatic indexing, Communications of the ACM 18 (11) (1975) 613-620.
47. S. E. Schaeffer, Graph clustering, Computer Science Review 1 (1) (2007) 27-64.
48. A. Sharp, P. McDermott, Workflow Modeling: Tools for Process Improvement and Applications Development, Artech House Publishers, 2008.
49. S. Siegel, Nonparametric Statistics for the Behavioral Sciences, McGraw-Hill Series in Psychology, McGraw-Hill, 1956.
50. S. Smirnov, R. M. Dijkman, J. Mendling, M. Weske, Meronymy-based aggregation of activities in business process models, in: ER 2010, Lecture Notes in Computer Science, vol. 6412, Springer, 2010, pp. 1-14.
51. S. Smirnov, H. A. Reijers, M. Weske, T. Nugteren, Business process model abstraction: a definition, catalog, and survey, Distributed and Parallel Databases (2012).
52. S. Smirnov, M. Weidlich, J. Mendling, ICSOC, in: P. P. Maglio, M. Weske, J. Yang, M. Fantinato (Eds.), Lecture Notes in Computer Science, 6470, 2010, pp. 1-16.
53. H. Stachowiak, Allgemeine Modelltheorie, Springer, 1973.
54. R. Uba, M. Dumas, L. García-Bañuelos, M. La Rosa, Clone detection in repositories of business process models, in: BPM 2011, Lecture Notes in Computer Science, vol. 6896, Springer, 2011, pp. 248-264.
55. J. Vanhatalo, H. Völzer, J. Koehler, The refined process structure tree, in: BPM 2008, Springer, 2008, pp. 100-115.
56. M. Weidlich, R. M. Dijkman, J. Mendling, The ICoP framework: identification of correspondences between process models, in: CAiSE 2010, Lecture Notes in Computer Science, vol. 6051, Springer, 2010, pp. 483-498.
57. S. K. M. Wong, W. Ziarko, P. C. N. Wong, Generalized vector spaces model in information retrieval, in: SIGIR 1985, ACM, New York, NY, USA, 1985, pp. 18-25.