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DCR-KiPN a Hybrid Modeling Approach for Knowledge-Intensive Processes

  • Flávia SantoroEmail author
  • Tijs Slaats
  • Thomas T. Hildebrandt
  • Fernanda Baiao
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11788)

Abstract

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.

Keywords

Knowledge-intensive Process Hybrid process notation 

Notes

Acknowledgments

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).

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Flávia Santoro
    • 1
    Email author
  • Tijs Slaats
    • 2
  • Thomas T. Hildebrandt
    • 2
  • Fernanda Baiao
    • 3
  1. 1.University of the State of Rio de JaneiroRio de JaneiroBrazil
  2. 2.University of CopenhagenCopenhagenDenmark
  3. 3.Pontifical Catholic University of Rio de JaneiroRio de JaneiroBrazil

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