DCR-KiPN a Hybrid Modeling Approach for Knowledge-Intensive Processes
Hybrid modeling approaches have been proposed to represent processes that have both strictly regulated parts and loosely regulated parts. Such process is so-called Knowledge-intensive Process (KiP), which is a sequence of activities based on intense knowledge use and acquisition. Due to these very particular characteristics, the first author previously proposed the Knowledge-intensive Process Ontology (KiPO) and its subjacent notation (KiPN). However, KiPN still fails to represent the declarative perspective of a KiP. Therefore, in this paper, we propose to improve KiPN by integrating it with the declarative process modeling language DCR Graphs. DCR-KiPN is a hybrid process modeling notation that combines a declarative process model language (activities and business rules) with the main aspects of a KiP, such as cognitive elements (decision rationale towards goals, beliefs, desires and intentions), interactions and knowledge-exchange among its participants.
KeywordsKnowledge-intensive Process Hybrid process notation
Work supported by the Innovation Fund Denmark project EcoKnow (7050-00034A) and the Danish Council for Independent Research project Hybrid Business Process Management Technologies (DFF-6111-00337).
- 2.Debois, S., Hildebrandt, T., Marquard, M., Slaats, T.: Hybrid process technologies in the financial sector: the case of BRFkredit. In: vom Brocke, J., Mendling, J. (eds.) Business Process Management Cases. MP, pp. 397–412. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-58307-5_21CrossRefGoogle Scholar
- 4.Guizzardi, G.: Ontological foundations for structural conceptual models. Ph.D. thesis, University of Twente, October 2005Google Scholar
- 5.Hildebrandt, T.T., Mukkamala, R.R.: Declarative event-based workflow as distributed dynamic condition response graphs. In: Proceedings Third Workshop on Programming Language Approaches to Concurrency and communication-cEntric Software, PLACES, pp. 59–73 (2010)Google Scholar
- 6.Lyrio, R.: DecKiPO: Extending the semantic expressivity of the business rules representation in knowledge-intensive processes scenarios. Master’s thesis, UNIRIO, (in Portuguese) (2018)Google Scholar
- 7.Marjanovic, O., Freeze, R.D.: Knowledge intensive business processes: theoretical foundations and research challenges. In: 44th Hawaii International International Conference on Systems Science, HICSS-44 2011, pp. 1–10 (2011)Google Scholar
- 8.Dwyer, M.B., Avrunin, G.S., Corbett, J.C.: Property specification patterns for finite-state verification. In: 2nd Workshop on Formal Methods in Software Practice, March 1998Google Scholar
- 11.Pesic, M., van der Aalst, W.M.P.: A declarative approach for flexible business processes management. In: Business Process Management Workshops, BPM, pp. 169–180 (2006)Google Scholar
- 13.Slaats, T., Schunselaar, D.M.M., Maggi, F.M., Reijers, H.A.: The semantics of hybrid process models. In: On the Move to Meaningful Internet Systems: OTM, pp. 531–551 (2016)Google Scholar
- 14.Vaculín, R., Hull, R., Heath, T., Cochran, C., Nigam, A., Sukaviriya, P.: Declarative business artifact centric modeling of decision and knowledge intensive business processes. In: Proceedings of the 15th IEEE International Enterprise Distributed Object Computing Conference, EDOC 2011, Helsinki, Finland, 29 August–2 September 2011, pp. 151–160 (2011)Google Scholar