Towards efficient business process clustering and retrieval: Combining language modeling and structure matching

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

Volumn 6896 LNCS, Issue , 2011, Pages 199-214

  Qiao, Mu ^a   Akkiraju, Rama ^b   Rembert, Aubrey J ^b  

^a The Pennsylvania State University   (United States)

^b IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BUSINESS PROCESS; CLUSTERING RESULTS; FORMAL CONTROLS; IT SERVICES; LANGUAGE MODELING; LARGE ORGANIZATIONS; PROCESS MANAGEMENT; RUNNING TIME; SEMANTIC SIMILARITY; STATISTICAL LANGUAGE MODELING; STRUCTURAL FEATURE; STRUCTURE MATCHING;

ADMINISTRATIVE DATA PROCESSING; CLUSTERING ALGORITHMS; COMPUTATIONAL LINGUISTICS; ENTERPRISE RESOURCE MANAGEMENT; SEMANTICS; SOCIETIES AND INSTITUTIONS;

PROCESS CONTROL;

EID: 80052802600     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23059-2_17     Document Type: Conference Paper

References (22)

1. Akkiraju, R., Ivan, A.: Discovering Business Process Similarities: An Empirical Study with SAP Best Practice Business Processes. In: Maglio, P.P., Weske, M., Yang, J., Fantinato, M. (eds.) ICSOC 2010. LNCS, vol. 6470, pp. 515-526. Springer, Heidelberg (2010)
2. Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet Allocation. Journal of Machine Learning Research 3, 993-1022 (2003)
3. Croft, W.B.: A model of cluster searching based on classification. Information Systems 5, 189-195 (1980)
4. Dijkman, R., Dumas, M., García-Bañuelos, L.: Graph Matching Algorithms for Business Process Model Similarity Search. In: Dayal, U., Eder, J., Koehler, J., Reijers, H.A. (eds.) BPM 2009. LNCS, vol. 5701, pp. 48-63. Springer, Heidelberg (2009)
5. Dong, X., Halevy, A.Y., Madhavan, J., Nemes, E., Zhang, J.: Simlarity Search for Web Services. In: Proc. of VLDB 2004, pp. 372-383 (2004)
6. van Dongen, B.F., Dijkman, R., Mendling, J.: Measuring similarity between business process models. In: Bellahséne, Z., Léonard, M. (eds.) CAiSE 2008. LNCS, vol. 5074, pp. 450-464. Springer, Heidelberg (2008)
7. Dumas, M., García-Bañuelos, L., Dijkman, R.M.: Similarity Search of Business Process Models. Bulletin of the Technical Committee on Data Engineering 32(3), 23-28 (2009)
8. Ehrig, M., Koschmider, A., Oberweis, A.: Measuring similarity between semantic business process models. In: Proc. of APCCM 2007, pp. 71-80 (2007)
9. Griffiths, T.L., Steyvers, M.: Finding scientific topics. Proceedings of the National Academy of Sciences 101(suppl. 1), 5228-5235 (2004)
10. Grigori, D., Corrales, J.C., Bouzeghoub, M., Gater, A.: Ranking BPEL Processes for Service Discovery. IEEE T. Services Computing 3(3), 178-192 (2010)
11. Jung, J., Bae, J., Liu, L.: Hierarchical clustering of business process models. International Journal of Innovative Computing, Information and Control 5(12), 1349-4198 (2009)
12. Keller, G., Teufel, T.: SAP(R) R/3 Process Oriented Implementation: Iterative Process Prototyping. Addison-Wesley, Reading (1998)
13. Li, J.: Two-scale image retrieval with significant meta-information feedback. In: Proc. of ACM Multimedia Conference 2005, pp. 499-502 (2005)
14. Liu, X., Croft, W.B.: Cluster-based retrieval using language models. In: Proc. of ACM SIGIR Conference 2004, pp. 186-193 (2004)
15. Madhusudan, T., Zhao, J.L., Marshall, B.: A case-based reasoning framework for workflow model management. Data Knowl. Eng. 50(1), 87-115 (2004)
16. Ponte, J., Croft, W.B.: A language modeling approach to information retrieval. In: Proc. of ACM SIGIR Conference 1998, pp. 275-281 (1998)
17. Salton, G., Wong, A., Yang, C.S.: A Vector Space Model for Automatic Indexing. Communications of the ACM 18(11), 613-620 (1975)
18. Turpin, A., Scholer, F.: User Performance versus Precision Measures for Simple Search Tasks. In: Proc. of ACM SIGIR Conference 2006, pp. 11-18 (2006)
19. Voorhees, E.M.: The cluster hypothesis revisited. In: Proc. of ACM SIGIR Conference 1985, pp. 188-196 (1985)
20. Wei, X., Croft, W.B.: LDA-based document models for ad-hoc retrieval. In: Proc. of ACM SIGIR Conference 2006, pp. 178-185 (2006)
21. Yan, Z., Dijkman, R., Grefen, P.: Fast Business Process Similarity Search with Feature-Based Similarity Estimation. In: Meersman, R., Dillon, T.S., Herrero, P. (eds.) OTM 2010. LNCS, vol. 6426, pp. 60-77. Springer, Heidelberg (2010)
22. Zhai, C., Lafferty, J.: A study of smoothing methods for language models applied to ad hoc information retrieval. In: Proc. of ACM SIGIR Conference 2001, pp. 334-342 (2001)