Abstract
The problem to be solved relates to the business process modeling based on the information about user actions to automatically populate the knowledge base of the enterprise information system. The approaches to business process descriptions in the context of various knowledge base models are considered. The model of user work activity based on colored Petri nets is proposed. Methods for the generation of such models based on the knowledge base data using finite state machines have been developed. The finite automata themselves have been created on the basis of human-readable materials of the knowledge base. For this purpose, human-readable materials must be marked up as scripts in the Gherkin language, which is used in the behavior-driven development methodology. These Petri nets models are a reference description of the correct business processes according to experts. They can be used to verify the correctness of user actions in real practice by comparing with the Petri nets models obtained by analyzing the logs of the main information system. As a result, experts have been provided with an interface and software tools to automate the building of the knowledge base of a company. The proposed methods and models increase the efficiency of the enterprise information system application.
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Vinogradova, M.V., Larionov, A.S. (2022). Analyzing of User Actions for the Business Process Models Mining and Automated Building of the Knowledge Base of a Company. In: Kravets, A.G., Bolshakov, A.A., Shcherbakov, M. (eds) Society 5.0: Human-Centered Society Challenges and Solutions. Studies in Systems, Decision and Control, vol 416. Springer, Cham. https://doi.org/10.1007/978-3-030-95112-2_32
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