A rapid review on ontology- and data-driven business process modelling
DOI: https://doi.org/10.3846/ntcs.2025.24801Abstract
In modern organizations, the ability to efficiently manage and adapt business processes is essential. Business process modelling (BPM) is widely used to visualize, analyse, and improve operational processes. As the complexity of business environments increases, the integration of ontological modelling and data-driven approaches becomes increasingly relevant. Ontologies offer a semantic foundation for organizing and structuring process-related information, while data-driven methods support evidence-based decision-making and enable the adaptation of processes to dynamic conditions. Although both approaches show promise, the academic literature still lacks a coherent view of how they are jointly applied within BPM. This research conducts a rapid review of recent scientific publications to investigate how ontological and data-based methods are being used, what challenges are most often identified, and which research directions are emerging. The analysis reveals that the integration of these methods could address issues such as semantic consistency, process automation, and real-time decision-making. The results highlight existing research gaps and provide a clearer understanding of how BPM methodologies can be advanced by combining these two perspectives. This research contributes to the theoretical development of BPM by mapping current practices and offering insights for future researches.
First published online 23 January 2026
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ontology, business process, modelling, data-driven, integration, rapid reviewHow to Cite
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Copyright (c) 2025 The Author(s). Published by Vilnius Gediminas Technical University.
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Copyright (c) 2025 The Author(s). Published by Vilnius Gediminas Technical University.
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