Skip to main content

Towards Knowledge-Intensive Processes Representation

  • Conference paper
Business Process Management Workshops (BPM 2012)

Abstract

An organization that aligns Knowledge Management (KM) to its business processes is able to identify gaps, to correct mistakes and to keep updated more quickly. The need to identify and represent the dynamic generation and use of existing knowledge embedded into a business process, especially into a Knowledge-Intensive Process (KIP), has proved increasingly relevant. In this context, one important issue is to come up with adequate models and notations to represent KIPs. This paper presents an evaluation of current widely-used modeling languages, such as UML, EPC and BPMN, and also two others specifically proposed to deal with KIPs. The results point out which KIP characteristics could be adequately represented by using notational elements that are inherent to those modeling approaches.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Abecker, A.: DECOR Consortium: DECOR – Delivery of context-sensitive organizational knowledge. E-Work and E-Commerce. IOS Press (2001)

    Google Scholar 

  2. ARIS Express, http://www.ariscommunity.com/aris-express/download (accessed in: December 04, 2011)

  3. Cabral, L., Norton, B., Domingue, J.: The Business Process Modelling Ontology. In: 4th International Workshop on Semantic Business Process Management (SBPM 2009), Workshop at ESWC 2009, Crete (June 2009)

    Google Scholar 

  4. Cardoso, E.C.S., Santos Jr., P.S., Almeida, J.P.A., Guizzardi, R.S.S., Guizzardi, G.: Semantic Integration of Goal and Business Process Modeling. In: Anais da International Conference on Research and Practical Issues of Enterprise Information Systems (CONFENIS 2010), Natal/RN, Brasil (2010)

    Google Scholar 

  5. Donadel, A.C.: A method for representing knowledge-intensive processes. MSc Dissertation. Programa de Pós-Graduação em Engenharia e Gestão do Conhecimento, Universidade Federal de Santa Catarina, Brazil (2007) (in Portuguese)

    Google Scholar 

  6. Drucker, P.: Sociedade Pós Capitalista. São Paulo, Pioneira (1993)

    Google Scholar 

  7. Eriksson, H.-E., Penker, M.: Business Modeling with UML: Business patterns at work. E.U.A.: John Wiley and Sons (2000)

    Google Scholar 

  8. França, J.B.S., Santoro, F.M., Baião, F.A.: Towards Characterizing Knowledge-Intensive Processes. In: IEEE International Conference on Computer-Supported Cooperative Work in Design (CSCWD 2012), Wuhan, China (2012)

    Google Scholar 

  9. França, J.B.S., Netto, J.M., Carvalho, J.E.S., Santoro, F.M., Baião, F.A., Pimentel, M.: An Exploratory Study on Collaboratively Conceptualizing Knowledge-Intensive Processes. In: International Series of Working Conferences on Business Process Modeling, Development and Support (BPMDS 2012), Gdansk, Poland (accepted for publication, 2012)

    Google Scholar 

  10. Guizzardi, G.: Ontological Foundations for Structural Conceptual Models. Universal Press, The Netherlands (2005) ISBN 90-75176-81-3

    Google Scholar 

  11. Gronau, N., Weber, E.: Defining an infrastructure for knowledge-intensive business process. In: I-KNOW, Graz, Austria, vol. 4. Proceedings..., Graz (2004)

    Google Scholar 

  12. Gronau, N., Muller, C., Korf, R.: KMDL – Capturing, analyzing and improving Knowledge-intensive business process. Journal of Universal Computer Science 11(4), 452–472 (2005)

    Google Scholar 

  13. Hagen, C.R., Ratz, D., Povalej, R.: Towards self-organizing knowledge-intensive processes. Journal of Universal Knowledge Management (2), 148–169 (2005)

    Google Scholar 

  14. Korherr, B., List, B.: Extending the epc and the bpmn with business goals and performance measures, http://www.wit.at/people/korherr/publications/iceis2007.pdf (accessed in: June 26, 2011)

  15. Lopes, M., Baião, F., Siqueira, S.: Expressing Business Rules in a Foundational-based Domain Ontology: Towards Higher-quality Conceptual Models. In: International Conference on Information Integration and Web-Based Applications & Services, Paris (2010)

    Google Scholar 

  16. Maldonado, M.U.: Analysis the impact of policy creation and transfer of knowledge in knowledge-intensive processes: A model of system dynamics. MSc Dissertation. 138f. Programa de Pós-Graduação em Engenharia e Gestão do Conhecimento, Universidade Federal de Santa Catarina, Florianópolis, Brazil (2008) (in Portuguese)

    Google Scholar 

  17. Moody, D.L.: The physics of notations: Towards a scientific basis for constructing visual notations in software engineering. IEEE Transactions on Software Engineering 35(5), 756–779 (2009)

    Article  MathSciNet  Google Scholar 

  18. Oliveira, F.F.: Ontology Collaboration and its Applications. MSc Dissertation. Programa de Pós-Graduação em Informática, Universidade Federal do Espírito Santo, Vitória, Brazil (2009) (in Portuguese)

    Google Scholar 

  19. OMG: Business Process Modeling and Notation (BPMN). Version 2.0, (2011), http://www.bpmn.org/ (accessed in: June 26, 2011)

  20. OMG: Unified Modeling Language (UML). Version 2.0 (2011), http://www.uml.org/

  21. Papavassiliou, G., Ntioudis, S., Abecker, A., Mentzas, G.: Business Process Knowledge Modeling: method tool. In: Database and Expert Systems Applications (2003)

    Google Scholar 

  22. Pereira, A., Santoro, F.: Cognitive Decision Making Process as Context Information. In: The 15th IFIP WG8.3 International Conference on Decision Support Systems (DSS 2010), Lisboa, Portugal (2010)

    Google Scholar 

  23. Rao, A.S., Georgeff, M.P.: BDI Agents: From Theory to Practice. In: Proceedings of the First International Conference on Multiagent Systems, ICMAS 1995 (1995)

    Google Scholar 

  24. Scheer, A.W.: ARIS – Business Process Modeling. Springer (1999)

    Google Scholar 

  25. Schreiber, G., Akkermans, H., Anjewierden, A., Hoog, R., Shadbolt, N., De Velde, W.V., Wielinga, B.: Knowledge Engineering and Management: The Common KADS Methodology. MIT Press, Cambridge (2002)

    Google Scholar 

  26. Steels, L.: Corporate knowledge management. In: Proceedings of ISMICK 1993 Conference, Compiégne, France, pp. 9–30 (1993)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

dos Santos França, J.B., Netto, J.M., Barradas, R.G., Santoro, F., Baião, F.A. (2013). Towards Knowledge-Intensive Processes Representation. 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_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-36285-9_14

  • 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)

Publish with us

Policies and ethics