Abstract
The chapter focuses on the possible SBPM aspects of the solution utilized in the ProKEX project. We demonstrate a methodology to extract, organize and preserve knowledge embedded in business processes to enrich the organizational knowledge base partway automatically. In the semantic approach, the piece of knowledge which is necessary to complete the given phase in the process can be handled operationally. The solution is based on the connection between the process model and the corporate knowledge base where the process structure will be used for building up the knowledge structure. A common form of knowledge base is the ontology, which provides the conceptualization of a certain domain. We discuss how to establish the links between model elements and ontology concepts. The objective of this approach is to transform the business process into process ontology and to combine it with the knowledge base as a domain ontology in a dynamic, systematic and well-controlled solution. In the case study, we illustrate the solution related to the processes of a middle-sized, Hungarian insurance company operating both in the Life and Non-Life line of the insurance business. The examples will be outlined as a proof of evidence.
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ProKEx: Integrated Platform for Process-based Knowledge Extraction, EUREKA project, http://prokex.netpositive.hu.
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Ternai, K., Török, M., Varga, K. (2016). Corporate Semantic Business Process Management. In: Gábor, A., Kő, A. (eds) Corporate Knowledge Discovery and Organizational Learning. Knowledge Management and Organizational Learning, vol 2. Springer, Cham. https://doi.org/10.1007/978-3-319-28917-5_2
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