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Increasing Recall of Process Model Matching by Improved Activity Label Matching

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8094))

Abstract

Comparing process models and matching similar activities has recently emerged as a research area of business process management. However, the problem is fundamentally hard when considering realistic scenarios: e.g., there is a huge variety of terms and various options for the grammatical structure of activity labels exist. While prior research has established important conceptual foundations, recall values have been fairly low (around 0.26) – arguably too low to be useful in practice. In this paper, we present techniques for activity label matching which improve current results (recall of 0.44, without sacrificing precision). Furthermore, we identify categories of matching challenges to guide future research.

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References

  1. Castelo Branco, M., Troya, J., Czarnecki, K., Küster, J., Völzer, H.: Matching business process workflows across abstraction levels. In: France, R.B., Kazmeier, J., Breu, R., Atkinson, C. (eds.) MODELS 2012. LNCS, vol. 7590, pp. 626–641. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  2. 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)

    Chapter  Google Scholar 

  3. Dijkman, R., Dumas, M., van Dongen, B., Käärik, R., Mendling, J.: Similarity of business process models: Metrics and evaluation. Inf. Syst. 36(2), 498–516 (2011)

    Article  Google Scholar 

  4. Duchateau, F., Bellahsene, Z., Coletta, R.: A flexible approach for planning schema matching algorithms. In: COOPIS 2008 (2008)

    Google Scholar 

  5. Euzenat, J., Shvaiko, P.: Ontology Matching. Springer (2007)

    Google Scholar 

  6. Grigori, D., Corrales, J.C., Bouzeghoub, M.: Behavioral Matchmaking for Service Retrieval. In: IEEE ICWS (2006)

    Google Scholar 

  7. Koschmider, A., Blanchard, E.: User assistance for business process model decomposition. In: IEEE RCIS (2007)

    Google Scholar 

  8. Kunze, M., Weidlich, M., Weske, M.: Behavioral similarity – A proper metric. In: Rinderle-Ma, S., Toumani, F., Wolf, K. (eds.) BPM 2011. LNCS, vol. 6896, pp. 166–181. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  9. Leopold, H., Niepert, M., Weidlich, M., Mendling, J., Dijkman, R., Stuckenschmidt, H.: Probabilistic optimization of semantic process model matching. In: Barros, A., Gal, A., Kindler, E. (eds.) BPM 2012. LNCS, vol. 7481, pp. 319–334. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  10. Leopold, H., Smirnov, S., Mendling, J.: On the refactoring of activity labels in business process models. Inf. Syst. 37(5), 443–459 (2012)

    Article  Google Scholar 

  11. Levenshtein, V.I.: Binary codes capable of correcting deletions, insertions and reversals. Soviet Physics Doklady 10(8), 707–710 (1966)

    Google Scholar 

  12. Lin, D.: An information-theoretic definition of similarity. In: ICML (1998)

    Google Scholar 

  13. Lovins, J.B.: Development of a stemming algorithm. Mechanical Translation and Computational Linguistics 11, 22–31 (1968)

    Google Scholar 

  14. Miller, G.A.: Wordnet: a lexical database for english. Commun. ACM 38(11), 39–41 (1995)

    Article  Google Scholar 

  15. 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 

  16. 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

    Google Scholar 

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Klinkmüller, C., Weber, I., Mendling, J., Leopold, H., Ludwig, A. (2013). Increasing Recall of Process Model Matching by Improved Activity Label Matching. In: Daniel, F., Wang, J., Weber, B. (eds) Business Process Management. Lecture Notes in Computer Science, vol 8094. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40176-3_17

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  • DOI: https://doi.org/10.1007/978-3-642-40176-3_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40175-6

  • Online ISBN: 978-3-642-40176-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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