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Evaluating Social Tagging for Business Process Models

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Business Process Management Workshops (BPM 2012)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 132))

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Abstract

Finding business process models in a model repository is a challenge that needs to be tackled for efficient business process management. Existing process model similarity measures compare models based on named elements and model structure. Social tagging enriches models with so-called tags – words or short phrases describing the content of the model. The tags given to models offer another possibility to judge about the similarity between models. In this paper we compare both approaches based on a study conducted with students. We discuss first insights and perspectives for tag-based search for process models.

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References

  1. Dijkman, R., Dumas, M., van Dongen, B., Kaarik, R., Mendling, J.: Similarity of business process models: Metrics and evaluation. Information Systems 36(2), 498–516 (2011)

    Article  Google Scholar 

  2. Becker, M., Laue, R.: A comparative survey of business process similarity measures. Computers in Industry 63(2), 148–167 (2012)

    Article  Google Scholar 

  3. Fengel, J., Rebstock, M., Nüttgens, M.: Modell-Tagging zur semantischen Verlinkung heterogener Modelle. In: EMISA 2008, Sankt Augustin, Germany, Gesellschaft für Informatik, pp. 53–69 (September 2008)

    Google Scholar 

  4. Prilla, M.: Models, Social Tagging and Knowledge Management – A fruitful Combination for Process Improvement. In: Rinderle-Ma, S., Sadiq, S., Leymann, F. (eds.) BPM 2009 Workshops. LNBIP, vol. 43, pp. 266–277. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  5. Vanderhaeghen, D., Fettke, P., Loos, P.: Organizational and technological options for business process management from the perspective of web 2.0. Business & Information Systems Engineering 2(1), 15–28 (2010)

    Article  Google Scholar 

  6. Decker, G., Overdick, H., Weske, M.: Oryx – An Open Modeling Platform for the BPM Community. In: Dumas, M., Reichert, M., Shan, M.-C. (eds.) BPM 2008. LNCS, vol. 5240, pp. 382–385. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  7. Störrle, H.: UML 2 erfolgreich einsetzen. Addison-Wesley, Munich (2005)

    Google Scholar 

  8. Wong, P.Y.H., Gibbons, J.: A Process Semantics for BPMN. In: Liu, S., Araki, K. (eds.) ICFEM 2008. LNCS, vol. 5256, pp. 355–374. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  9. Montero, I., Na, J.P., Ruiz-Cortés, A.: ATL transformation: Feature models for representing runtime variability in BIS to business process model notation (2008), http://www.isa.us.es/uploads/tools/fm2bpmn/doc/draft.pdf

  10. Gravesande, K., Kim, S., Mowla, R., Resptrepo, A., Thomas, C., Weaver, S.: The essentials of BPEL (2008), http://csis.pace.edu/~ctappert/dps/d861-08/team1.pdf

  11. White, S.A.: Using BPMN to model a BPEL process. BP Trends (March 2005)

    Google Scholar 

  12. van Dongen, B.F., de Medeiros, A.K.A., Verbeek, H.M.W., Weijters, A.J.M.M., van der Aalst, W.M.P.: The ProM Framework: A New Era in Process Mining Tool Support. In: Ciardo, G., Darondeau, P. (eds.) ICATPN 2005. LNCS, vol. 3536, pp. 444–454. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  13. Bastian, M., Heymann, S., Jacomy, M.: Gephi: An open source software for exploring and manipulating networks. In: Adar, E., Hurst, M., Finin, T., Glance, N.S., Nicolov, N., Tseng, B.L. (eds.) ICWSM. The AAAI Press (2009)

    Google Scholar 

  14. Fruchterman, T.M.J., Reingold, E.M.: Graph drawing by force-directed placement. Software: Practice and Experience 21(11), 1129–1164 (1991)

    Article  Google Scholar 

  15. 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)

    Chapter  Google Scholar 

  16. Dice, L.R.: Measures of the amount of ecologic association between species. Ecology 26(3), 297–302 (1945)

    Article  Google Scholar 

  17. 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)

    Chapter  Google Scholar 

  18. 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)

    Chapter  Google Scholar 

  19. Huang, K., Zhou, Z., Han, Y., Li, G., Wang, J.: An Algorithm for Calculating Process Similarity to Cluster Open-Source Process Designs. In: Jin, H., Pan, Y., Xiao, N., Sun, J. (eds.) GCC 2004 Workshops. LNCS, vol. 3252, pp. 107–114. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  20. Jung, J.Y., Bae, J., Liu, L.: Hierarchical clustering of business process models. International Journal of Innovative Computing, Information and Control 5(12), 1349–4198 (2009)

    Google Scholar 

  21. Zha, H., Wang, J., Wen, L., Wang, C., Sun, J.: A workflow net similarity measure based on transition adjacency relations. Computers in Industry 61(5), 463–471 (2010)

    Article  Google Scholar 

  22. Weidlich, M., Dijkman, R., Mendling, J.: The ICoP Framework: Identification of Correspondences between Process Models. In: Pernici, B. (ed.) CAiSE 2010. LNCS, vol. 6051, pp. 483–498. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  23. Koschmider, A., Hornung, T., Oberweis, A.: Recommendation-based editor for business process modeling. Data & Knowledge Engineering 70(6), 483–503 (2011)

    Article  Google Scholar 

  24. Ehrig, M., Koschmider, A., Oberweis, A.: Measuring similarity between semantic business process models. In: APCCM 2007: Proceedings of the Fourth Asia-Pacific Conference on Comceptual Modelling, pp. 71–80. Australian Computer Society, Inc., Darlinghurst (2007)

    Google Scholar 

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Laue, R., Becker, M. (2013). Evaluating Social Tagging for Business Process Models. In: La Rosa, M., Soffer, P. (eds) Business Process Management Workshops. BPM 2012. Lecture Notes in Business Information Processing, vol 132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36285-9_33

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  • DOI: https://doi.org/10.1007/978-3-642-36285-9_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36284-2

  • Online ISBN: 978-3-642-36285-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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