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KIPO: the knowledge-intensive process ontology

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Abstract

A business process is a sequence of activities that aims at creating products or services, granting value to the customer, and is generally represented by a business process model. Business process models play an important role in bridging the gap between the business domain and the information technology, increasing the weight of business modeling as first step of software development. However, the traditional way of representing a process is not suitable for the so-called Knowledge-Intensive Processes (KIP). This type of process comprises sequences of activities based on intensive acquisition, sharing, storage and (re)use of knowledge, so that the amount of value added to the organization depends on the actor knowledge. Current research in the literature points to the lack of approaches to make this kind of process explicit and strategies for handling information that is necessary for their understanding and support. The goal of this paper is to present KIPO—a knowledge-intensive process ontology, which encompasses a clear and semantically rich definition of KIPs, and to discuss the results of a case study to evaluate KIPO with regard to its applicability and capability of making all relevant knowledge embedded in a KIP explicit.

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References

  1. Aalst, W.M.P., Weske, M., Grünbauer, D.: Case handling: a new paradigm for business process support. Data Knowl. Eng. 53(2), 129–162 (2005)

    Article  Google Scholar 

  2. Abecker, A.: Business-process oriented knowledge management: concepts, methods and tools. P.h.D thesis, Institute AIFB, University of Karlsruhe, Germany (2004)

  3. Abecker, A.: DECOR Consortium: DECOR—Delivery of Context-Sensitive Organizational Knowledge. E-Work and E-Commerce. IOS Press, Amsterdam (2001)

  4. BPMN 2.0 by Example, Version 1.0 (non-normative). OMG document number: dtc/2010-06-02. Available at: http://www.omg.org/spec/BPMN/2.0/examples/PDF. Last access: May 2013 (2010)

  5. Businska, L., Kirikova, M.: Knowledge dimension in business process modeling. CAiSE Forum selected papers, volume 107 of Lecture Notes in Business Information Processing, pp. 186–201. Springer (2011)

  6. 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

  7. Di Ciccio, C., Catarci, T., Mecella, M.: Representing and visualizing mined artful processes in MailOfMine. In: HCI-KDD (2011)

  8. Di Ciccio, C., Marrella, A., Russo, A.: Knowledge-intensive processes: an overview of contemporary approaches. In: International workshop on Knowledge-Intense Business Processes, Italy (2012)

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

  10. Easterbrook, S.M., Singer, J., Storey, M., Damian, D.: Selecting empirical methods for software engineering research. In: Shull, F., Singer, J. (eds) Guide to Advanced Empirical Software Engineering, Springer (2007)

  11. Eppler, M.J., Seifried, P.M., Ropnack, A.: Improving knowledge intensive processes through an enterprise knowledge medium. In: ACM Special Interest Group on Computer Personnel Research, New Orleans. Proceedings, ACM, New York (1999)

  12. França, J.B.S., Santoro, F.M., Baião, F.A.: Towards characterizing knowledge intensive processes. In: International Conference on Computer-Supported Cooperative Work in Design (CSCWD 2012), China (2012)

  13. França, J.B.S., Baião, F.A., Santoro, F.M.: An exploratory study on collaboratively conceptualizing knowledge intensive processes. In: International Conference on Business Process Modeling, Development, and Support (BPMDS 2012). Gdansk, Polônia, (2012)

  14. Giurca, A., Lukiche, S., Wagner, G.: Modeling web services with URML. In: Proceedings of Semantics for Business Process Management Workshop, Budva, Montenegro, June 2006

  15. Gronau, N., Muller, C., Korf, R.: KMDL—capturing, analyzing and improving knowledge-intensive business process. J. Univers. Comput. Sci. 11(4), 452–472 (2005)

    Google Scholar 

  16. Gronau, N., Weberz, E: Management of knowledge intensive business processes. In: Desel, J., Pernici, B., Weske, M. (eds.) Business Process Management, Springer, Heidelberg (2004)

  17. Guarino, N.: Formal ontology, conceptual analysis and knowledge representation. Int. J. Hum. Comput. Stud. 43(5/6), 625–640 (1995)

    Article  Google Scholar 

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

    Google Scholar 

  19. Guizzardi, G., Falbo, R.A., Guizzardi, R.S.S.: Grounding software domain ontologies in the unified foundational ontology (UFO): the case of the ODE software process ontology. In: Anais do XI Worshop Iberoamericano de Ambientes de Software e Engenharia de Requisitos, Recife, Brazil (2008)

  20. Guizzardi, G., Falbo, R.A., Guizzardi, R.S.S.: The importance of foundational ontology for domain ontology engineering: a importância de Ontologias de Fundamentação para a Engenharia de Ontologias de Domínio: the case of software process domain. Revista IEEE América Latina 6, 244–251 (2008b). (in Portuguese)

    Article  Google Scholar 

  21. Hagen, C.R., Ratz, D., Povalej, R.: Towards self-organizing knowledge intensive processes. J. Univers. Knowl. Manag. 2, 148–169 (2005)

    Google Scholar 

  22. Hill, C., Yates, R., Jones, C., Kogan, S.L.: Beyond predictable workflows: enhancing productivity in artful business processes. IBM Syst. J. 45(4), 663:682 (2006)

    Article  Google Scholar 

  23. Korherr, B., List, B.: A UML 2 profile for event driven process chains. In: Proceedings of the 1st IFIP International Conference on Research and Practical Issues of Enterprise Information Systems. Springer (2006)

  24. 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 23 Sept 2011

  25. 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 and Services, Paris (2010)

  26. Maldonado, M.U.: Impact analysis of knowledge intensive process creation and transfer policy: a system dynamic model. M.Sc. dissertation. Programa de Pós-Graduação em Engenharia e Gestão do Conhecimento, Universidade Federal de Santa Catarina, Brazil (in Portuguese) (2008)

  27. Man, H.: Case management: a review of modeling approaches. In: BPTrends, Jan 2009

  28. Moura, E.V., Santoro, F.M., Baiao, F.A.: Collaborative support for knowledge-intensive processes through a service-based approach. In: IEEE International Conference on Computer Supported Cooperative Work in Design, Whistler. 17th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2013), vol. 1, pp. 1–6 (2013)

  29. Netto, J.M.; França, J., Santoro, F.M.; Baiao, F.A.: A notation for knowledge-intensive processes. In: IEEE International Conference on Computer Supported Cooperative Work in Design, Whistler. 17th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2013), vol. 1, pp. 1–6 (2013)

  30. Noy, N.F., Mcguinness, D.L.: Ontology Development 101: A Guide to Creating Your First Ontology. Knowledge Systems Laboratory (2001)

  31. Nurcan, S., Rolland, C.: Meta-modelling for cooperative processes. In: The 7th European–Japanese Conference on Information Modelling and Knowledge Bases, 27–30 May 1997, Toulouse, pp. 361–377 (1997)

  32. Oliveira, F.F.: Ontology collaboration and its applications. M.Sc. dissertation. Programa de Pós-Graduação em Informática, Universidade Federal do Espírito Santo, Vitória, Brazil (in Portuguese) (2009)

  33. OMG: Business Process Modeling and Notation (BPMN). Version 2.0. http://www.bpmn.org/ (2011). Accessed 26 June 2011

  34. Papavassilious, G., Mentzas, G.: Knowledge modelling in weakly-structure business processes. J. Knowl. Manag. 7(2), 18–23 (2003)

    Article  Google Scholar 

  35. Papavassiliou, G., Ntioudis, S., Abecker, A., Mentzas, G.: Managing knowledge in weakly-structured administrative processes. In: 3rd European Conference on Organizational Knowledge, Learning and Capabilities, 3, Atenas, Grécia, Abr. 5–6 (2002)

  36. 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)

  37. Rao, A.S., Georgeff, M.P.: Modeling rational agents within a BDI architecture. In: Second International Conference on Principles of Knowledge Representation and Reasoning (KR’91), pp. 473–484. Morgan Kaufmann, Cambridge, MA, USA (1991)

  38. Rolland, C., Souveyet, C., Moreno, M.: An approach for defining ways-of-working. Inf. Syst. J. 20(4), 337–359 (1995)

    Article  Google Scholar 

  39. Schlenoff, C., Gruninger, M., Tissot, F., Valois, J., Lubell, J., Lee, J.: The Process Specification Language (PSL) Overview and Version 1.0 Specification. http://www.mel.nist.gov/psl/ (2000). Accessed 27 June 2011

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

    Google Scholar 

  41. Strohmaier, M., Yu, E., Horkoff, J., Aranda, J., Easterbook, S.: Analyzing knowledge transfer effectiveness—an agent-oriented modeling approach. In: Proceedings of the 40th Hawaii International Conference on System Sciences, USA (2007)

  42. Strohmaier, M., Tochtermann, K.: The B-KIDE framework and tool for business process oriented knowledge infrastructure development. J. Knowl. Process. Manag. 12(3), 171–189 (2005)

    Article  Google Scholar 

  43. Supulniece, I., Businska, L., Kirikova, M.: Towards extending BPMN with the knowledge dimension. In: Bider, I., et al. (eds) Enterprise, Business-Process and Information Systems Modeling. Lecture Notes in Business Information Processing, vol. 50, pp. 69–81. Springer, Berlin (2010)

  44. Yin, R.K.: Case Study Research: Design and Methods, 3rd edn. Sage, Beverly Hills, CA (2003)

    Google Scholar 

  45. Wagner, G.: The abstract syntax of RuleML—towards a general web rule language framework. In: WI ’04 Proceedings of the 2004 IEEE/WIC/ACM 130 International Conference on Web Intelligence, IEEE Computer Society Washington, DC, USA (2004)

  46. Wiig, K.M.: Knowledge Management Methods: Practical Approaches to Managing Knowledge. Schema Press, Arlington, TX (1995)

    Google Scholar 

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Correspondence to Juliana Baptista dos Santos França.

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Communicated by Dr. Selmin Nurcan.

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Santos França, J.B.d., Netto, J.M., do E. S. Carvalho, J. et al. KIPO: the knowledge-intensive process ontology. Softw Syst Model 14, 1127–1157 (2015). https://doi.org/10.1007/s10270-014-0397-1

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