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.
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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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Santoro, F., Slaats, T., Hildebrandt, T.T., Baiao, F. (2019). DCR-KiPN a Hybrid Modeling Approach for Knowledge-Intensive Processes. In: Laender, A., Pernici, B., Lim, EP., de Oliveira, J. (eds) Conceptual Modeling. ER 2019. Lecture Notes in Computer Science(), vol 11788. Springer, Cham. https://doi.org/10.1007/978-3-030-33223-5_13
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DOI: https://doi.org/10.1007/978-3-030-33223-5_13
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