DETECTION AND HANDLING EXCEPTIONS IN BUSINESS PROCESS MANAGEMENT SYSTEMS USING ACTIVE SEMANTIC MODEL

Dragan Mišić, Miloš Stojković, Milan Trifunović, Nikola Vitković

DOI Number
10.22190/FUME211115026M
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Abstract


Although business process management systems (BPM) have been used over the years, their performance in unpredicted situations has not been adequately solved. In these cases, it is common to request user assistance or invoke predefined procedures. In this paper, we propose using the Active Semantic Model (ASM) to detect and handle exceptions. This is a specifically developed semantic network model for modeling of semantic features of the business processes. ASM is capable of classifying new situations based on their similarities with existing ones. Within BPM systems this is then used to classify new situations as exceptions and to handle the exceptions by changing the process based on ASM’s previous experience. This enables automatic detection and handling of exceptions which significantly improves the performance of bpm systems.

Keywords

Business Process Management Systems, Exception Detection, Exception Handling, Active Semantic Model, Analogy-based Reasoning

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References


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https://sourceforge.net/projects/sharkwf/ (last access: 15.12.2021)


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ISSN: 2335-0164 (Online)

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