Advertisement

Semi-automatic Methodology for Compliance Checking on Business Processes

  • Katalin TernaiEmail author
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9265)

Abstract

The paper aims to provide a semi-automatic methodology, which can be used to validate and improve business processes. The main goal is the process ontology matching, based on ontologies derived from business process models and regulations, rules and policies. The paper introduces a method using ontology building and matching for compliance checking on business processes partway automatically. The objective of this approach is to transform the business process into process ontology and to build reference process ontology from unstructured documents in order to apply ontology matching procedure to restructure, validate and improve the business process. Processes in public administration are also complex and changing fast according to the changes in regulatory environment. In the case study, we illustrate the methodology related to the process of “Assessment of the KICs past performance”, to improve the process at the European Institute of Innovation and Technology (EIT).

Keywords

Process ontology Ontology learning Ontology matching Compliance check 

References

  1. 1.
    Hoefferer, P.: Achieving business process model interoperability using meta models and ontologies. In: Sterle, H., Schelp, J., Winter, R. (Eds.) Proceedings of the 15th European Conference on Information Systems (ECIS2007), pp. 1620–1631 (2007)Google Scholar
  2. 2.
    Fensel, D., Hepp, M., Leymann, F., Bussler, C., Domingue, J., Wahler, A.: Semantic business process management: using semantic web services for business process management. In: IEEE Conference on e-Business Engineering (ICEBE 2005), Beijing, China (2005)Google Scholar
  3. 3.
    eBEST-Empowering Business Ecosystems of Small Service Enterprises to Face the Economic Crisis. The project co-funded by the European Commission, FP7-SME-2008-2 No. 243554. http://www.ebest.eu/
  4. 4.
    ProKEx: Integrated Platform for Process-based Knowledge Extraction, EUREKA project. http://prokex.netpositive.hu
  5. 5.
    European Institute of Innovation and Technology (EIT). http://eit.europa.eu/
  6. 6.
    Weske, M., van der Aalst, W.M.P., Verbeek, H.M.W.: Advances in business process management. Data Knowl. Eng. 50(1), 1–8 (2004)CrossRefGoogle Scholar
  7. 7.
    Light, A.: Gartner predicts: Nearly Half of IT Jobs will be Lost to Automation by 2015, UsabilityNews.com, 4 Fenruary 2005Google Scholar
  8. 8.
    van der Aalst, W.M.P., Desel, J., Oberweis, A.: Business process management: models, techniques, and empirical studies. Springer, Heidelberg (2000)CrossRefGoogle Scholar
  9. 9.
    Hepp, M., Leymann, F., Domingue, J., Wahler, A., Fensel, D.: Semantic business process management: a vision towards using semantic web services for business process management. In: Proceedings of the IEEE International Conference on e-Business Engineering, ICEBE 2005 (2005)Google Scholar
  10. 10.
    Hepp, M., Roman, D.: An Ontology Framework for Semantic Business Process Management. In: Proceedings of Wirtschaftsinformatik 2007, p. 27 (2007)Google Scholar
  11. 11.
    Gábor, A., Szabó, Z.: Semantic technologies in business process management. In: Fathi, M. (ed.) Integration of Practice-Oriented Knowledge Technology: Trends and Prospectives, pp. 17–28. Springer Verlag, Heidelberg (2013). 368 p. ISBN 978-3-642-34470-1CrossRefGoogle Scholar
  12. 12.
    Basu, A., Blanning, R.W.: A formal approach to workflow analysis. Inf. Syst. Res. 11(1), 17–36 (2000)CrossRefGoogle Scholar
  13. 13.
    Karastoyanova, D., Lessen, T., Leymann1, F., Ma, Z., Nitzsche, J., Wetzstein, B., Bhiri, S., Hauswirth, M., Zaremba, M.: A reference architecture for semantic business process management systems. In: Multi konferenz Wirtschaftsinformatik GITO-Verlag, Berlin (2008)Google Scholar
  14. 14.
    Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web. Scientific American 284(5), 34–43 (2001)CrossRefGoogle Scholar
  15. 15.
    Hepp, M., Cardoso, J., Lytras, M.D.: The Semantic Web: Real-World Applications from Industry. Springer, Heidelberg (2007)Google Scholar
  16. 16.
    Herborn, T., Wimmer, M.: Process ontologies facilitating interoperability in egovernment, a methodological framework. In: Workshop on Semantics for Business Process Management, the 3rd Semantic Web Conference. Montenegro (2006)Google Scholar
  17. 17.
    Benjamins, V.R., Fensel, D., Straatman, R.: Assumptions of problem-solving methods and their role in knowledge engineering. In: Wahlster, W. (Ed.) Poceedings ECAI-1996, pp. 408−412 (1996)Google Scholar
  18. 18.
    Kő, A., Ternai, K.: A development method for ontology based business processes, In: Cunningham, P., Cunningham, M. (eds.) eChallenges 2011: Conference and Exhibition, Florence, Italy. pp. 125−131. Konferencia helye, ideje: Florence, Olaszország, 2011.10.26-2011.10.28. Dublin: International Information Management Corporation, 26–28 October 2011. (ISBN:978-1-905824-27-4)Google Scholar
  19. 19.
    Haase, P., Völker, J.: Ontology learning and reasoning –- dealing with uncertainty and inconsistency. In: da Costa, P.C.G., d’Amato, C., Fanizzi, N., Laskey, K.B., Laskey, K.J., Lukasiewicz, T., Nickles, M., Pool, M. (eds.) URSW 2005 - 2007. ISWC International Workshops, URSW 2005-2007, Revised Selected and Invited Papers, vol. 5327, pp. 366–384. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  20. 20.
    Alasoud, A., et al.: An Effective Ontology Matching Technique. In: An, A., et al. (eds.) Foundations of Intelligent Systems, pp. 585–590. Springer, Berlin / Heidelberg (2008)CrossRefGoogle Scholar
  21. 21.
    Choi, N., et al.: A survey on ontology mapping. SIGMOD Rec. 35, 34–41 (2006)CrossRefGoogle Scholar
  22. 22.
    Noy, N.F.: Semantic integration: a survey of ontology-based approaches. SIGMOD Rec. 33, 65–70 (2004)CrossRefGoogle Scholar
  23. 23.
    Borbásné Szabó, I.: Design of Higher Education Portfolio, Ph.D dissertation, Corvinus University of Budapest, Hungary (2012)Google Scholar
  24. 24.
    Jung, J.J.: Semantic business process integration based on ontology alignment. Expert Syst. Appl. 36(8), 11013–11020 (2009)CrossRefGoogle Scholar
  25. 25.
    Koschmider, A., Oberweis, A.: Ontology based business process description. In: Proceedings of the CAiSE, pp. 321−333 (2005)Google Scholar
  26. 26.
    BOC ADONIS 4.0 User Manual- Method Manual, BPMS Method (2009)Google Scholar
  27. 27.
    Ternai, K., Török, M.: A new approach in the development of ontology based workflow architectures. In: 17th International Conference on Concurrent Enterprising - Conference Proceedings. Approaches in Concurrent Engineering. Published by: Ralf Zillekens Druck- und Werbeservice, Stolberg, Germany, 20−22 June 2011. ISBN: 978-3-943024-04-3Google Scholar
  28. 28.
    Szabó, I., Varga, K.: Knowledge-based compliance checking of business processes. In: Meersman, R., Panetto, H., Dillon, T., Missikoff, M., Liu, L., Pastor, O., Cuzzocrea, A., Sellis, T. (eds.) OTM 2014. LNCS, vol. 8841, pp. 597–611. Springer, Heidelberg (2014)Google Scholar
  29. 29.
    Castello, V., Mahajan, L., Flores, E., Gabor, M., Neusch, G., Szabó, I.B., Caballero, J.G., Vettraino, L., Luna, J.M., Blackburn, C., Ramos, F.J.: The skill match challenge. evidences from the SMART project. In: Proceedings of the ICERI 2014, pp. 1182−1189 (2014)Google Scholar
  30. 30.
    Ternai, K., Szabó, I., Varga, K.: Ontology-Based Compliance Checking on Higher Education Processes. In: Kő, A., Leitner, C., Leitold, H., Prosser, A. (eds.) EGOVIS/EDEM 2013. LNCS, vol. 8061, pp. 58–71. Springer, Heidelberg (2013)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Department of Information SystemsCorvinus University of BudapestBudapestHungary

Personalised recommendations