Abstract
Sensitive Business Processes (SBPs) modeling has become an effective way of managing and developing organization’s knowledge which needs to be capitalized. These processes are characterized by a high complexity and dynamism in their execution, high number of critical activities with intensive acquisition, sharing, storage and (re)use of very specific crucial knowledge, diversity of knowledge sources, and high degree of collaboration among experts. Hence, we propose a semantically rich conceptualization for describing an SBP organized in a generic Business Process Meta-model for Knowledge Identification (BPM4KI), in order to develop a rich and expressive representation of SBPs to identify and localize the crucial knowledge. BPM4KI covers all aspects of business process modeling: the functional, organizational, behavioral, informational, intentional and knowledge perspectives. This paper aims to introduce a more explicit border between information and knowledge concepts and dimensions which are relevant in SBP models, based on «core» domain ontologies.
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Notes
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- 2.
With respect to our notation, the informal labels on BPM4KI concepts appear in the text in the Courrier new font with First Capital Letters for the concepts and a javaLikeNotation for relations.
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According to I&DA [33], Knowledge - for an Agent - corresponds to Propositions to which the Agent confers a truth value: this then allows him/her to use these Propositions in reasoning (whatever their truth value) in order to derive new knowledge.
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https://www.dropbox.com/s/0ia9xrjwrtoqqkq/Ontological%20Conceptual%20Pattern%20relating%20to%20the%20Knowledge%20Perspective%20of%20SBP.pdf?dl=0. The figure explicit the core concepts of the knowledge perspective of BPM4KI meta-model (marked in gray), in addition to inter-aspects relationships [4].
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Ben Hassen, M., Turki, M., Gargouri, F. (2017). Towards Extending Business Process Modeling Formalisms with Information and Knowledge Dimensions. In: Benferhat, S., Tabia, K., Ali, M. (eds) Advances in Artificial Intelligence: From Theory to Practice. IEA/AIE 2017. Lecture Notes in Computer Science(), vol 10350. Springer, Cham. https://doi.org/10.1007/978-3-319-60042-0_45
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